CN105206284B - Dredge the cyberchat method and system of adolescent psychology pressure - Google Patents

Dredge the cyberchat method and system of adolescent psychology pressure Download PDF

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CN105206284B
CN105206284B CN201510580511.XA CN201510580511A CN105206284B CN 105206284 B CN105206284 B CN 105206284B CN 201510580511 A CN201510580511 A CN 201510580511A CN 105206284 B CN105206284 B CN 105206284B
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pressure
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value
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intermediate result
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CN105206284A (en
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冯铃
黄景
李琦
薛媛媛
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Tsinghua University
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Abstract

The present invention discloses a kind of cyberchat method and system for dredging adolescent psychology pressure, it is intended to by carrying out several times continuously dialogue response with teenager, some information actively and positively are provided, it guides them to think deeply with a kind of attitude of positive optimism, face the difficulty, achievees the purpose that alleviate adolescent psychology pressure.The method, comprising: S1, the first session sentence for obtaining user carry out Chinese word segmentation to the first session sentence, and establish the first dependency tree;S2, each node of the first dependency tree is labeled by the pressure dictionary pre-established, and the path length calculated between path length and pressure subtype node and mood word node between the pressure type node and mood word node after mark obtains intermediate result;S3, target intermediate result is selected from intermediate result, purpose pressure sensing results are extracted from target intermediate result;S4, target response sentence is obtained according to the purpose pressure sensing results, and feeds back to user.

Description

Dredge the cyberchat method and system of adolescent psychology pressure
Technical field
The present invention relates to data analysis technique fields, and in particular to a kind of cyberchat side for dredging adolescent psychology pressure Method and system.
Background technique
With the continuous quickening of social development, current people generally subject the psychological pressure from various aspects.Blueness is few Year intelligence full maturity not yet, assurance and capacity of self-regulation to mood relative deficiency, excessive psychology compared with adult Pressure often causes different degrees of injury to teen-age body and mind.Meanwhile the teenager in the phase of rebel is often unwilling It is exchanged with other people, causes its pressure mood to be unable to get and timely dredge, cause more serious consequence.Correlative study table Bright, the teenager of China 10%-30% has different degrees of psychological problems, and there are learning anxiety psychology by ninety percent or more student The student of problem, nearly half nourishes the feared state of mind to examination.At the same time, with the rise of WEB2.0, network is more and more Teenager provide exchange and express mood platform.Therefore, if a cyberchat tool can be designed and Implemented, by mutual The dialogue that networking carries out intelligence with teenager is chatted, and is merged its content of microblog, is embodied in automatic identification teenager's session sentence Pressure mood and source pressure provide the answer statement rich in hommization to dredge their psychological pressure, then for teenager Healthy growth it is of great advantage, to entire society harmony health development cannot be neglected important function.
Since the 1990s, people begin to study and design automatically request-answering system.Automatically request-answering system carries out One question answering process generally requires experience question text analysis, information retrieval, outcome evaluation and ranking, integrates the processes such as answer. In terms of natural language question answering system, more famous system has Start, AskJeeves, AnswerBus etc..Start system The problem of being a question answering system researched and developed by the Massachusetts Institute of Technology, history, geographical technology and culture etc. can be answered, still It is also lacking in terms of the understanding to context.The major function of AskJeeves system is retrieval, passes through user's interaction and language Justice analysis provides search result.AnswerBus is the multilingual automatically request-answering system of University of Michigan's research and development, it is in analysis user After the natural language sentence of input, providing may be comprising 8 sentence and associated URL of answer.In addition, Microsoft Encarta, the MULDER of University of Washington, LAM of National University of Singapore etc. are also the automatically request-answering systems of relative maturity.
In recent years, domestic many scientific research institutions and enterprise have also carried out phase to by the question answering system of dominant language of Chinese Close research.2013, article " the A Chatterbot System for that Harbin Institute of Technology delivers on ACL Answering Domain-specific Questions " describe the automatic question answering system around affective domain that they design System.The problems in the problem of question answering system proposes user and database match, and filter out the problem of similarity maximum And provide corresponding answer.
However intelligent Answer System has that three can not dredge applied to adolescent psychology pressure: 1) automatic question answering System, which is often directed to, has the problem of objective or generally acknowledged answer, is unable to satisfy demand of the user when there is pressure mood;2) it " asks Answer " mode lacks interaction: during pressure is dredged, the role of " quizmaster " and " answerer " should be in users and chat journey It is suitably converted in sequence, to improve the interactivity for entirely dredging process;3) " question and answer " mode lacks the understanding to language environment: The pouring out of user, chat process is a successional process, and each session sentence suffers from the context of context.If according to The working principle of automatically request-answering system only merely replys each sentence respectively, then response effect is limited to depth.
Intelligent chat robots are a branches of automatically request-answering system, are generally basede on the side of pattern match to find one Appropriate answer provides a relatively humanized answer to the natural language input of user, this answer may and not have The characteristics of intellectual is more simulation person to person's chat conversations.The intelligent chat robots of comparative maturity have foreign countries at present Eliza and Alice, domestic " small i ", " small figure " and " little Huang chicken " etc..Eliza was Joseph Weizenbaum in 1956 The chat robots of release are identified as first chat robots in the world.It has certain psychological knowledge, Neng Gouhe User exchanges, but good continuity is short of between context.Alice is the chat robots based on experience, By Richard doctor S.Wallace in nineteen ninety-five research and develop, its maximum feature is that artificial intelligence has been used to mark language The template progress that AIML is sayed as Knowledge Description Language, for the natural sentence of user's input, after participle and in knowledge base Match, obtains answer." small i " is a Chinese chat robots of Shanghai Incesoft Co., Ltd's independent research, is passed through Development in 10 years, it has accumulated a large amount of relevant knowledge in multiple fields such as weather, map, translations, and supports speech recognition Function is the Chinese chat robots of a comparative maturity." little Huang chicken " originates from Renren Network, hot rapidly later, is a Pure chat robots.Its intelligence depends on huge backstage knowledge base, by instructional function, constantly learns user's answer Keyword and answer and store.
Main problem of the intelligent chat robots in processing user's pressure mood is: 1) being full of negative feelings in face of user The session sentence of thread, the response that a plurality of intelligence chat robots provide are not humanized enough;2) it is difficult to provide practical solution: For example when user encounters school work pressure, chat tool should provide a user the guidance in some learning methods.And it is attempting After the chat robots of several money prevalences, it is found that answer often contains when seeking advice from " What shall i do " similar problem to it Its diction is pasted, practical opinion can not be provided.
In view of this, providing a kind of intelligent chat tool for the purpose of dredging adolescent psychology pressure for teenager becomes Urgent problem to be solved.
Summary of the invention
The object of the present invention is to provide a kind of cyberchat method and systems for dredging adolescent psychology pressure, pass through Continuously dialogue response is carried out several times with teenager, perceives the pressure mood and source pressure information of user, and according to user Pressure mood and source pressure information, linked up, helped online in time, some information actively and positively are provided, him is guided Thought deeply with a kind of attitude of positive optimism, faced the difficulty, achieve the purpose that alleviate adolescent psychology pressure.
For this purpose, on the one hand, the present invention proposes a kind of cyberchat method for dredging adolescent psychology pressure, comprising:
S1, obtain user the first session sentence, to the first session sentence carry out Chinese word segmentation, and establish first according to Deposit relational tree, wherein the root node of first dependency tree is the centre word of the first session sentence, each child node For the word that the progress Chinese word segmentation obtains, the dependence of each corresponding child node when indicating this;
S2, each node of first dependency tree is labeled by the pressure dictionary pre-established, and counted The path length and pressure subtype node and mood word section between pressure type node and mood word node after calculating mark Path length between point obtains intermediate result, wherein the pressure dictionary includes negative word and its interdependent positive mood Pressure subtype word under word, pressure mood word, pressure type word, pressure type word and belong to corresponding to pressure subtype word The descriptor of pressure subtype scope, the format of the intermediate result are (Stress, Category:lc, Subcategory: ls), Stress has indicated whether pressure, and Category indicates pressure type word, lcIndicate pressure type word and mood word node it Between path length, Subcategory indicate pressure subtype word, lsIt indicates between pressure subtype word and mood word node Path length;
S3, target intermediate result is selected from the intermediate result, purpose pressure is extracted from the target intermediate result Sensing results, wherein the format of the purpose pressure sensing results is (Stress, Category, Subcategory);
S4, target response sentence is obtained according to the purpose pressure sensing results, and feeds back to user.
On the other hand, the present invention proposes a kind of cyberchat system for dredging adolescent psychology pressure, comprising:
Unit is established, for obtaining the first session sentence of user, Chinese word segmentation is carried out to the first session sentence, and Establish the first dependency tree, wherein the root node of first dependency tree is the centre word of the first session sentence, Each child node is the word that the progress Chinese word segmentation obtains, the dependence of each corresponding child node when indicating this;
Computing unit marks each node of first dependency tree by the pressure dictionary pre-established Note, and calculate the path length between the pressure type node and mood word node after mark and pressure subtype node and feelings Path length between thread word node obtains intermediate result, wherein the pressure dictionary includes negative word and its is interdependent just Pressure subtype word under face mood word, pressure mood word, pressure type word, pressure type word and belong to pressure subtype word institute The descriptor of corresponding pressure subtype scope, the format of the intermediate result are (Stress, Category:lc, Subcategory:ls), Stress has indicated whether pressure, and Category indicates pressure type word, lcIndicate pressure type word with Path length between mood word node, Subcategory indicate pressure subtype word, lsIndicate pressure subtype word and mood Path length between word node;
Extraction unit is mentioned from the target intermediate result for selecting target intermediate result from the intermediate result Take purpose pressure to perceive as a result, wherein, the format of the purpose pressure sensing results be (Stress, Category, Subcategory);
Acquiring unit for obtaining target response sentence according to the purpose pressure sensing results, and feeds back to user.
The cyberchat method and system that adolescent psychology pressure is dredged described in the embodiment of the present invention, by perceiving user Mood word, pressure type word and the pressure subtype word and its dependence that session sentence is contained each time obtain purpose pressure Sensing results, and corresponding target response sentence is obtained according to the purpose pressure sensing results, and feed back to user, Neng Goutong It crosses and carries out several times continuously dialogue response with teenager, provide some information actively and positively for it, guide them with one kind Actively optimistic attitude is thought deeply, is faced the difficulty, and achievees the purpose that alleviate adolescent psychology pressure.
Detailed description of the invention
Fig. 1 is the flow diagram for one embodiment of cyberchat method that the present invention dredges adolescent psychology pressure;
Fig. 2 is the pressure dictionary signal for another embodiment of cyberchat method that the present invention dredges adolescent psychology pressure Figure;
Fig. 3 is that the present invention dredges the first dependency tree in the another embodiment of cyberchat method of adolescent psychology pressure Schematic diagram;
Fig. 4 is that the present invention dredges normal direction overlapping between pedestrian in the another embodiment of cyberchat method of adolescent psychology pressure And tangential displacement schematic diagram;
Fig. 5 is the frame structure schematic diagram for one embodiment of cyberchat system that the present invention dredges adolescent psychology pressure;
Fig. 6 is the architecture diagram for another embodiment of cyberchat system that the present invention dredges adolescent psychology pressure;
Fig. 7 is the log-in interface signal for the another embodiment of cyberchat system that the present invention dredges adolescent psychology pressure Figure.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention In attached drawing, technical solution in the embodiment of the present invention is explicitly described, it is clear that described embodiment is the present invention A part of the embodiment, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art are not having Every other embodiment obtained under the premise of creative work is made, shall fall within the protection scope of the present invention.
As shown in Figure 1, the present embodiment discloses a kind of cyberchat method for dredging adolescent psychology pressure, comprising:
S1, obtain user the first session sentence, to the first session sentence carry out Chinese word segmentation, and establish first according to Deposit relational tree, wherein the root node of first dependency tree is the centre word of the first session sentence, each child node For the word that the progress Chinese word segmentation obtains, the dependence of each corresponding child node when indicating this;
S2, each node of first dependency tree is labeled by the pressure dictionary pre-established, and counted The path length and pressure subtype node and mood word section between pressure type node and mood word node after calculating mark Path length between point obtains intermediate result, wherein the pressure dictionary includes negative word and its interdependent positive mood Pressure subtype word under word, pressure mood word, pressure type word, pressure type word and belong to corresponding to pressure subtype word The descriptor of pressure subtype scope, the format of the intermediate result are (Stress, Category:lc, Subcategory: ls), Stress has indicated whether pressure, and Category indicates pressure type word, lcIndicate pressure type word and mood word node it Between path length, Subcategory indicate pressure subtype word, lsIt indicates between pressure subtype word and mood word node Path length;
S3, target intermediate result is selected from the intermediate result, purpose pressure is extracted from the target intermediate result Sensing results, wherein the format of the purpose pressure sensing results is (Stress, Category, Subcategory);
S4, target response sentence is obtained according to the purpose pressure sensing results, and feeds back to user.
In the embodiment of the present invention, for the session sentence c of user's input, can define goal pressure sensing results is (Stress, Category, Subcategory).In order to obtain the target of (Stress, Category, Subcategory) form Pressure perception is as a result, can carry out Chinese word segmentation to sentence c first with language analysis tool LTP and be managed based on dependency grammar By establishing a dependency tree.According to dependency grammar, sentence is an organized entirety, and the ingredient of composition is word, word with Connection can be generated between word, connection constitutes the frame of sentence and expresses thoughts between these words.Therefore in the tree, each section Point is the word carried out after Chinese word segmentation, and root node is the centre word in entire sentence, and each side indicates between two words Dependence, the dependence between word and word have reacted the semantic relation between word and word.It is first based on this dependency tree First according to the pressure dictionary having had built up (as shown in the table 1 of Fig. 2, including pressure mood dictionary and pressure type/subtype word Library) each node is labeled.If there is the presence of pressure mood word or negative word and its interdependent front mood word In the presence of then Stress value be 1, on the contrary it is then be 0.Next, analyzing the company between all pressure mood words and pressure type word It connects, and obtains a series of shaped like (Stress, Category:lc, Subcategory:ls) intermediate result.Wherein Stress, Whether Category, Subcategory are still respectively indicated pressure, pressure type and subtype, lcAnd lsPressure type node With the path length (l of pressure subtype node and pressure mood word nodec/lsIt can indicate with value for 0 in pressure type section Point/do not have path between pressure subtype node and mood word node).Finally, preferentially choosing lcIt is worth the smallest intermediate result to make For target intermediate result, if lcBeing worth the smallest intermediate result has multiple, then chooses lsBe worth the smallest intermediate result as target among As a result.But in some cases, lcAnd lsThe all the smallest intermediate result of value still has multiple, at this moment selection and historical pressures type Identical and intermediate result with minimal path is as target intermediate result.And when historical information cannot help to select, then One intermediate result with minimal path of random selection is as target intermediate result.To sum up, for the input meeting of user Language sentence c will obtain a three-dimensional goal pressure sensing results (c.Stress, c.Category, c.Subcategory).
The cyberchat method that adolescent psychology pressure is dredged described in the embodiment of the present invention, each time by perception user Mood word, pressure type word and the pressure subtype word and its dependence that session sentence is contained obtain purpose pressure perception knot Fruit, and obtain corresponding target response sentence according to the purpose pressure sensing results, and feed back to user, can by with blueness Teenager carries out several times continuously dialogue response, provides some information actively and positively for it, guides them with a kind of positive pleasure The attitude of sight is thought deeply, is faced the difficulty, and achievees the purpose that alleviate adolescent psychology pressure.
Optionally, described logical in another embodiment for the cyberchat method that the present invention dredges adolescent psychology pressure The pressure dictionary pre-established is crossed to be labeled each node of first dependency tree, comprising:
Judge in each node by searching for the pressure dictionary with the presence or absence of negative word and its interdependent front Mood word or pressure mood word, and if it exists, then determine Stress value be have value corresponding to pressure, otherwise, it determines The value of Stress is value corresponding to no pressure;
For each node, pressure type word belonging to the node is determined by searching for the pressure dictionary Category and pressure subtype word Subcategory;
According to pressure type word Category belonging to the value of the Stress, each node and pressure subtype word Subcategory obtains the value of (Stress, Category, Subcategory) format, and using obtain it is described (Stress, Category, Subcategory) value of format is labeled each node.
Optionally, the present invention dredge adolescent psychology pressure cyberchat method another embodiment in, it is described from Target intermediate result is selected in the intermediate result, comprising:
L is selected from the intermediate resultcThe smallest intermediate result;
Judge the lcWhether the quantity of the smallest intermediate result is 1, if 1, then by the lcThe smallest intermediate result is made For the purpose intermediate result, or
If not 1, then from the lcL is selected in the smallest intermediate resultcAnd lsThe smallest intermediate result judges the lc And lsWhether the quantity of the smallest intermediate result is 1, if 1, then by the lcAnd lsThe smallest intermediate result is as the purpose Intermediate result, or
If the lcAnd lsThe quantity of the smallest intermediate result is not 1, then judges the lcAnd lsIn the smallest intermediate result With the presence or absence of intermediate result identical with the pressure type word of historical purpose pressure sensing results, and if it exists, then from the lcAnd ls It is chosen in one in intermediate result identical with the pressure type word of historical purpose pressure sensing results in the smallest intermediate result Between result as the purpose intermediate result, otherwise, if it does not exist, then from the lcAnd lsOne is chosen in the smallest intermediate result A intermediate result is as the purpose intermediate result.
In the embodiment of the present invention, with the session sentence-of user's input, " summation friend quarrels after the new term begins, good agitation!" be Example is illustrated the acquisition process of purpose pressure sensing results of the present invention.It is " tired as shown in the dependency tree of Fig. 3 It is hot-tempered " it is labeled as pressure mood word, " starting to school " is labeled as school work pressure type word, and " friend " is labeled as the pressure of the friend in interpersonal relationships Power subtype word, " quarrel " are labeled as interpersonal relationships pressure type word.Due to there is " agitation " this pressure mood word, Stress value is 1.And the relationship between pressure type and subtype word and pressure mood word is analyzed, available two centres As a result: (1, school work: 3, general general:0), (1, interpersonal relationships: 1, friend: 3).Based on shortest path principle, can choose (1, interpersonal relationships, friend) goal pressure sensing results are used as.
However, the chat sentence of user is all very brief in actual conditions, the three-dimensional pressure knot perceived out by above method The case where usually will appear c.Stress=0 or c.Category=null or c.Subcategory=null in fruit, i.e. user Read statement there is no the specific mood words or pressure type word for describing pressure condition.Based on pressure mood in chat process Duration, constantly record and update user historical pressures state (h.Stress, h.Category, h.Subcategory) (by perceiving user's pressure state result in pervious read statement), and whereby to the pressure state currently perceived Missing values in (c.Stress, c.Category, c.Subcategory) are supplemented, and following situation is specifically divided into:
(1) as c.Stress=0 and when h.Stress=0, if c.Category=h.Category, C.Subcategory=h.Subcategory then enables c.Stress=1;
(2) as c.Stress=1 while h.Stress=1, if c.Category=null, c.Subcategory= Null or c.Category=h.Category, c.Subcategory=null, enable c.Category=h.Category, C.Subcategory=h.Subcategory.
Final (c.Stress, c.Category, c.Subcategory) is recorded as to new historical pressures state (h.Stress, h.Category, h.Subcategory).
Optionally, in another embodiment for the cyberchat method that the present invention dredges adolescent psychology pressure, described After selecting target intermediate result in the intermediate result, purpose pressure sensing results are extracted from the target intermediate result Before, further includes:
The value of the value and the Stress of historical purpose pressure sensing results that judge the Stress of the target intermediate result is No is to have value corresponding to pressure, if the value of the Stress of the historical purpose pressure sensing results is to have corresponding to pressure Value, the value of the Stress of the target intermediate result are value corresponding to no pressure, then judge the historical purpose pressure perception As a result the value of the Category of the value of Category and the target intermediate result and historical purpose pressure perception are tied Whether the value of the Subcategory of fruit and the value of the Subcategory of the target intermediate result are equal, if equal, by institute State the Stress of target intermediate result value be updated to the historical purpose pressure sensing results Stress value, or
If the value of the Stress of the value of the Stress of the historical purpose pressure sensing results and the target intermediate result To there is value corresponding to pressure, then judge the Category of the target intermediate result value and Subcategory value whether The value of the Category of the target intermediate result is then updated to the historical purpose pressure and is perceived if null value for null value The value of the Subcategory of the target intermediate result is updated to the historical purpose pressure by the value of Category as a result The value of the Subcategory of sensing results, otherwise, if the value of the Category of the target intermediate result is not null value, The value of Subcategory is null value, then judges the value and the target of the Category of the historical purpose pressure sensing results Whether the value of the Category of intermediate result is equal, if equal, more by the value of the Subcategory of the target intermediate result It is newly the value of the Subcategory of the historical purpose pressure sensing results.
Optionally, in another embodiment for the cyberchat method that the present invention dredges adolescent psychology pressure, described Target response sentence is obtained according to the purpose pressure sensing results, comprising:
Determine the type of the first session sentence, wherein the type includes interrogative sentence and non-interrogative sentence;
Judge the first session sentence type whether be non-interrogative sentence and purpose pressure sensing results Stress Value whether be have value corresponding to pressure, if the type of the first session sentence be non-interrogative sentence, purpose pressure perception knot The value of the Stress of fruit be have value corresponding to pressure, if the first session sentence type be interrogative sentence, purpose pressure The value of the Stress of power sensing results is value corresponding to no pressure, then searches the first knowledge base pre-established, is obtained described Answer statement corresponding to the value of Category and the value of Subcategory of purpose pressure sensing results, and lookup is obtained Answer statement as the target response sentence, wherein preserved in first knowledge base a plurality of value by Category, The record of value and the answer statement composition of Subcategory, or
If the type of the first session sentence is non-interrogative sentence, the value of the Stress of purpose pressure sensing results is no pressure Value corresponding to power then chooses the target response sentence from the second knowledge base, wherein preserves in second knowledge base A plurality of answer statement, or
If the type of the first session sentence is interrogative sentence, the value of the Stress of purpose pressure sensing results is to have pressure Corresponding value then obtains the target response sentence from third knowledge base, wherein includes multiple in the third knowledge base Problem sentence and corresponding answer.
In the embodiment of the present invention, type and goal pressure sensing results based on user's read statement (c.Stress, C.Category, c.Subcategory), the acknowledgment strategy of this chat tool is as shown in Figure 4.
Situation one: pressure perceives (c.Stress=1)
(1) for declarative sentence and confirmative question, the present invention can the selection from the first knowledge base (can be local knowledge base) One suitable response returns to user.Store a large amount of energy for being directed to different pressures type and subtype in local knowledge base Comfort is enough played, is encouraged, or the answer statement of guidance user.
(2) for interrogative sentence, this chat tool can search one from third knowledge base (Chinese maximum Ask-Answer Community) Most suitable answer statement returns to user, and specific working principle is as follows:
Enable QuAnd QbThe problem of respectively user inputs sentence and the maximally related problem language searched from third knowledge base Sentence.As MatchDegree (Qu,Qb) it is greater than a threshold value (i.e. problem sentence QuWith maximally related problem sentence QbMatching degree), And the answer of the problem by user adopt or at least one people approve of when, present invention meeting according to whether the person of being asked adopt with And it approves of number to choose best answer and returns to user.Otherwise, the present invention is general back to selection one in local knowledge base Encouragement language or a joke return to user.
Wherein MatchDegree (Qu,Qb) it is based on QuAnd QbDependency tree in effective node to calculating.It enables Effective node is to for n (n1,n2), n1For central node, that is, root node in dependency tree, n2For with n1Node have directly according to The node of relationship is deposited, it can be a verb, noun either adjective.Assuming that two effective nodes are to for u=(u1,u2) With b=(b1,b2), then it is as follows can to define similarity sim (u, b):
Enable E (Qu) and E (Qb) it is respectively QuAnd QbDependence tree species effective node to collection.In view of the language of node Adopted similitude can replace original with the justice former (can obtain from Hownet Chinese vocabulary bank Hownet) of word in each node simultaneously The word of beginning is to guarantee to obtain more accurate similarity.Thus to obtain effective node to integrating as E*(Qu) and E*(Qb).It is possible thereby to Define MatchDegree (Qu,Qb) are as follows:
MatchDegree(Qu,Qb)=α SIM (E (Qu),E(Qb))+(1-α)SIM(E*(Qu),E*(Qb)),
Situation two: no pressure perceives (c.Stress=0)
(1) for non-interrogative sentence, the present invention will call the API of the chat robots simsimi of open source, the API to receive use One chat input by sentence at family returns to answer statement;
(2) identical as situation one (2) for interrogative sentence.
Optionally, the present invention dredge adolescent psychology pressure cyberchat method another embodiment in, it is described from The target response sentence is obtained in third knowledge base, comprising:
It is obtained and the maximally related problem sentence of the first session sentence from third knowledge base, wherein the third is known Know in library further includes the information whether multiple corresponding answers of problem sentence are adopted and the quantity that corresponding answer is approved of letter Breath;
The matching degree for calculating the first session sentence Yu maximally related problem sentence, judges whether the matching degree is greater than Preset numerical value then judges whether the answer of the maximally related problem sentence is adopted if more than the numerical value, if by adopting It receives, then chooses the answer being adopted for approving of quantity most from the answer being adopted as the target response sentence, alternatively, If no more than the numerical value or not being adopted, a drum is randomly selected from the encouragement language that first knowledge base saves Language is encouraged as the target response sentence.
Optionally, in another embodiment for the cyberchat method that the present invention dredges adolescent psychology pressure, the meter Calculate the matching degree of the first session sentence Yu maximally related problem sentence, comprising:
To the maximally related problem sentence QbChinese word segmentation is carried out, and establishes the second dependency tree;
Determine effective node of first dependency tree to u=(u1,u2) and the second dependency tree effective section Point is to b=(b1,b2), wherein u=(u1,u2), u1For the root node of first dependency tree, u2For with u1With direct The node of dependence, b1For the root node of second dependency tree, b2For with b1Node with direct dependence;
Calculate the first session sentence QuWith maximally related problem sentence QbMatching degree,
Calculation formula is MatchDegree (Qu,Qb)=α SIM (E (Qu),E(Qb))+(1-α)SIM(E*(Qu),E*(Qb)), Wherein, MatchDegree (Qu,Qb) it is the first session sentence QuWith maximally related problem sentence QbMatching degree, α (α ∈ (0,1)) it is constant, E (Qu) be first dependency tree effective node pair set, E (Qb) it is the described second interdependent pass It is the set of effective node pair of tree, E*(Qu) it is that will be obtained after each node of first dependency tree former substitution of its justice The set of effective node pair of the dependency tree arrived, E*(Qb) it is by its justice of each node of second dependency tree The set of effective node pair of the dependency tree obtained after original substitution, u*For E*(Qu) element, b*For E* (Qb) element,
Optionally, in another embodiment for the cyberchat method that the present invention dredges adolescent psychology pressure, described Before the first session sentence for obtaining user, further includes:
The direct log-in instruction of user is received, and the first answer statement is fed back into user, or
The log-in instruction of user is received, and when user authorizes connection microblogging, the original microblogging of user is obtained, according to described Original microblogging judges whether user has pressure mood, if so, the second answer statement is then fed back to user, otherwise, then by third Answer statement feeds back to user.
Optionally, in another embodiment for the cyberchat method that the present invention dredges adolescent psychology pressure, described Before the first session sentence for obtaining user, further includes:
After first answer statement, the second answer statement or third answer statement are fed back to user, obtain The second session sentence of user carries out pressure mood to the second session sentence and pressure type detects;
If detecting pressure mood in the second session sentence, pressure type is not detected, then to the original microblogging Pressure detecting is carried out, and the 4th answer statement is fed back to by user based on the pressure sensing result, or
If detecting pressure mood and pressure type in the second session sentence or not detecting pressure mood, hold Row step S1.
In addition, text emotion analysis is to be analyzed subjective texts, concluded, the process of its emotional characteristics is obtained.It is logical The emotion information extracted in text, the description object classified to emotion information, analyze emotion vocabulary are crossed to judge phrase, sentence Sentiment orientation in son even entire article.Dependency grammar is the " structure write by French linguistics L.Tesniere at it Syntax basis " in propose.Sentiment analysis work more mature, existing literature (Qi Li, Yuanyuan based on microblog Xue,Jia Jia,Ling Feng:Helping Teenagers Relieve Psychological Pressures:A Micro-blog Based System.[C]EDBT 2014:660-663;W.Che,Z.Li,Y.Li,Y.Guo,B.Qin,and T.Liu,“Multilingual dependency-based syntactic and semantic parsing,”in Proc.of CoNLL,2009,pp.49–54.;[15]W.Che,Z.Li,and T.Liu,"LTP:a chinese language Technology platform, " in Proc.of Coling, 2010, pp.13-16.) it is directed to the microblogging that teenager is issued, Semantic analysis has been carried out to typical psychological pressure therein, based on the method for microblogging feature extraction adolescent psychology Pressure Analysis, And more deep investigation has been carried out to adolescent psychology problem by PSS-14 psychological research questionnaire, it proposes based on microblogging The psychological pressure of "@" mode dredges tool.The present invention carries out pressure detecting to the original microblogging, and is based on the pressure detecting As a result the embodiment that the 4th answer statement feeds back to user can specifically be used into the above-mentioned prior art.
As shown in figure 5, the present embodiment discloses a kind of cyberchat system for dredging adolescent psychology pressure, comprising:
Unit 1 is established, for obtaining the first session sentence of user, Chinese word segmentation is carried out to the first session sentence, And establish the first dependency tree, wherein the root node of first dependency tree is the center of the first session sentence Word, each child node are the word that the progress Chinese word segmentation obtains, the interdependent pass of each corresponding child node when indicating this System;
Computing unit 2 marks each node of first dependency tree by the pressure dictionary pre-established Note, and calculate the path length between the pressure type node and mood word node after mark and pressure subtype node and feelings Path length between thread word node obtains intermediate result, wherein the pressure dictionary includes negative word and its is interdependent just Pressure subtype word under face mood word, pressure mood word, pressure type word, pressure type word and belong to pressure subtype word institute The descriptor of corresponding pressure subtype scope, the format of the intermediate result are (Stress, Category:lc, Subcategory:ls), Stress has indicated whether pressure, and Category indicates pressure type word, lcIndicate pressure type word with Path length between mood word node, Subcategory indicate pressure subtype word, lsIndicate pressure subtype word and mood Path length between word node;
Extraction unit 3 is mentioned from the target intermediate result for selecting target intermediate result from the intermediate result Take purpose pressure to perceive as a result, wherein, the format of the purpose pressure sensing results be (Stress, Category, Subcategory);
Acquiring unit 4 for obtaining target response sentence according to the purpose pressure sensing results, and feeds back to user.
The cyberchat system that adolescent psychology pressure is dredged described in the embodiment of the present invention, each time by perception user Mood word, pressure type word and the pressure subtype word and its dependence that session sentence is contained obtain purpose pressure perception knot Fruit, and obtain corresponding target response sentence according to the purpose pressure sensing results, and feed back to user, can by with blueness Teenager carries out several times continuously dialogue response, provides some information actively and positively for it, guides them with a kind of positive pleasure The attitude of sight is thought deeply, is faced the difficulty, and achievees the purpose that alleviate adolescent psychology pressure.
The present invention constructs the solution of a cyberchat for detecting and alleviating adolescent psychology pressure, such as schemes Shown in 6.This system specifically includes following three big modules: chat manager, pressure perceptron and response generator.
For chat manager, when user's login system, system will be prompted to user and connect microblogging (login interface such as Fig. 7 institute Show).If user's with no authorized microblogging links, it is directly entered chat interface and starts conventional chat program;When user's selection is awarded After the connection of power system microblogging, webpage jumps to chat page.Meanwhile system will access microblogging relevant interface, obtain user publication Microblogging.After obtaining the original microblogging of user, by analyzing whether the original microblogging that user delivers recently has pressure mood, Adjustment is sent to the opening remarks sentence of user.If system unauthorized connects user's microblogging, or does not examine from user's microblogging Pressure mood is measured, system will be with the greeting user of friend's formula: " hello!" and start conventional chat program., whereas if inspection Pressure mood is measured, system will greet user: " hello!Recently how is everything going? " or " all are good and sound? ".What if user replied Chat sentence detects pressure mood but no pressure type, and then the pressure sensing result based on microblogging tastes user to system The inquiry of examination property advances to conventional chat program to guide user more specifically to describe his pressure condition later;If with The chat sentence that family is replied detects pressure mood and pressure type simultaneously, or does not detect pressure mood, then system Then the read statement current to user of chat program routinely carries out response.
Pressure perceptron can specifically be set in order to which the mood and desired answer of user's expression is more completely understood Meter sentence type identification module and content of the sentence analysis module are analyzed come the chat sentence to user.Wherein sentence type is known The chat sentence of user can be divided into interrogative sentence, confirmative question and declarative sentence by other module.For example, how " me could be improved Mathematics achievement? " or " I should be what if? " etc. being interrogative sentence, which, which may expect to obtain, some is objectively built View or pep talk language.And for another example " they should not be understood me? " confirmative question then to express user's one kind stronger Mood, he may is that expectation obtains the answer pacified.On this basis, content of the sentence analysis module further analyzes user's input The content of sentence is thus to perceive the specific pressure condition of user (type and subtype including pressure).In view of user chats The continuity of process, the module record the pressure state of user's history simultaneously, and obtain more accurately by historical information Current pressure sensing results.
For response generator, the statement type result generated based on pressure perceptron analysis and pressure state are as a result, answer Selecting module is answered by one conjunction of selection from the library chat robots simsimi of local knowledge base, third knowledge base and open source Suitable answer returns to user.The module allows user to express the pain of heart or shifts the note of emotion by the interaction with user Meaning power is to help user to dredge pressure.Response management module is mainly responsible for creation and management acknowledgment strategy and Indigenous knowledge Library.The module has collected from Internet resources abundant largely there is pressure to dredge the answer statement of function and be stored in local Knowledge base, to provide response resource abundant for response selecting module.
For the present invention, following user's experiment has been carried out:
Student of 10 ages between 15 years old to 22 years old has been invited to participate in from middle school and university one month by a definite date User experiment in.Select this 10 people be because teen-age main body be all student and also participate in experiment 10 people also just meeting with By more or less pressure from various aspects.Experiment at the beginning, informs that experiment this chat tool of participant can help They dredge psychological pressure, they can chat with our chat tool at any time.In test process, participant is tested Do following three things: (1) every filling in a pressure consciousness scale (CPSS-14) week, (pressure consciousness scale is the heart It is widely used in measuring the other scale of people's pressure stage in Neo-Confucianism) record their pressure changings.(2) every to complete primary meeting After words process, effect is dredged for pressure and gives a scoring.(3) judge each chat sentence pressure perception the result is that It is no correct.
For each session, each read statement of user and its corresponding pressure sensing results are returned into user, Judge that pressure perceives the result is that no correct by user.The accuracy of pressure perception algorithm is evaluated using accuracy rate and recall rate. 78.34% and 76.12% are reached for the precision ratio and recall ratio of the perception of pressure existence.Perception for pressure type, The recall rate and other kinds of accuracy rate of emotion and human communication type are lower, this is because many emotions and human communication The pressure of type is perceived as other pressure types.In addition, for school work pressure most generally existing in teenager, this chat work Tool has preferable perception accuracy, and precision ratio and recall ratio have respectively reached 86.2% and 75%.
For the validity that the chat tool pressure is dredged, user after session each time will for pressure dredge effect to Giving a score, (1 point: mood is worse, and 2 points: mood does not change, and 3 points: mood is felt a little to improve, and 4 points: mood is felt Turn, 5 points: mood has biggish improvement).There is the score of 60% or more session to be above 2 points, i.e., 60% or more session is all User mood can be allowed to improve.This chat tool dredges the pressure of learning type that effect is preferable, this is because the pressure of learning type Power sensing results are more accurate.
Although the embodiments of the invention are described in conjunction with the attached drawings, but those skilled in the art can not depart from this hair Various modifications and variations are made in the case where bright spirit and scope, such modifications and variations are each fallen within by appended claims Within limited range.

Claims (10)

1. a kind of cyberchat method for dredging adolescent psychology pressure characterized by comprising
S1, the first session sentence for obtaining user carry out Chinese word segmentation to the first session sentence, and establish the first interdependent pass System tree, wherein the root node of first dependency tree is the centre word of the first session sentence, and each child node is institute It states and carries out the word that Chinese word segmentation obtains, the dependence of each corresponding child node when indicating this;
S2, each node of first dependency tree is labeled by the pressure dictionary pre-established, and calculates mark Path length and pressure subtype node between pressure type node after note and mood word node and mood word node it Between path length obtain intermediate result, wherein the pressure dictionary includes negative word and its interdependent front mood word, pressure Pressure subtype word under power mood word, pressure type word, pressure type word and belong to pressure corresponding to pressure subtype word The descriptor of subtype scope, the format of the intermediate result are (Stress, Category:lc, Subcategory:ls), Stress has indicated whether pressure, and Category indicates pressure type word, lcIt indicates between pressure type word and mood word node Path length, Subcategory indicate pressure subtype word, lsIndicate the road between pressure subtype word and mood word node Electrical path length;
S3, target intermediate result is selected from the intermediate result, the perception of purpose pressure is extracted from the target intermediate result As a result, wherein the format of the purpose pressure sensing results is (Stress, Category, Subcategory);
S4, target response sentence is obtained according to the purpose pressure sensing results, and feeds back to user.
2. the cyberchat method according to claim 1 for dredging adolescent psychology pressure, which is characterized in that described to pass through The pressure dictionary pre-established is labeled each node of first dependency tree, comprising:
Judge in each node by searching for the pressure dictionary with the presence or absence of negative word and its interdependent positive mood Word or pressure mood word, and if it exists, the value for then determining Stress is to have value corresponding to pressure, otherwise, it determines Stress Value is value corresponding to no pressure;
For each node, by searching for the pressure dictionary determine pressure type word Category belonging to the node and Pressure subtype word Subcategory;
According to pressure type word Category belonging to the value of the Stress, each node and pressure subtype word Subcategory obtains the value of (Stress, Category, Subcategory) format, and using obtain it is described (Stress, Category, Subcategory) value of format is labeled each node.
3. the cyberchat method according to claim 1 for dredging adolescent psychology pressure, which is characterized in that described from institute It states and selects target intermediate result in intermediate result, comprising:
L is selected from the intermediate resultcThe smallest intermediate result;
Judge the lcWhether the quantity of the smallest intermediate result is 1, if 1, then by the lcThe smallest intermediate result is as institute Purpose intermediate result is stated, or
If not 1, then from the lcL is selected in the smallest intermediate resultcAnd lsThe smallest intermediate result judges the lcAnd lsMost Whether the quantity of small intermediate result is 1, if 1, then by the lcAnd lsThe smallest intermediate result is as knot among the purpose Fruit, or
If the lcAnd lsThe quantity of the smallest intermediate result is not 1, then judges the lcAnd lsIn the smallest intermediate result whether In the presence of intermediate result identical with the pressure type word of historical purpose pressure sensing results, and if it exists, then from the lcAnd lsIt is minimum Intermediate result in an intermediate knot is chosen in intermediate result identical with the pressure type word of historical purpose pressure sensing results Fruit is as the purpose intermediate result, otherwise, if it does not exist, then from the lcAnd lsIt is chosen in one in the smallest intermediate result Between result as the purpose intermediate result.
4. the cyberchat method according to claim 1 for dredging adolescent psychology pressure, which is characterized in that it is described from After selecting target intermediate result in the intermediate result, from the target intermediate result extract purpose pressure sensing results it Before, further includes:
Judge the value of the Stress of the target intermediate result and the Stress of historical purpose pressure sensing results value whether be There is value corresponding to pressure, if the value of the Stress of the historical purpose pressure sensing results is to have value corresponding to pressure, institute The value for stating the Stress of target intermediate result is value corresponding to no pressure, then judges the historical purpose pressure sensing results The value of the Category of the value of Category and the target intermediate result and the historical purpose pressure sensing results Whether the value of Subcategory and the value of the Subcategory of the target intermediate result are equal, if equal, by the mesh The value of the Stress of mark intermediate result is updated to the value of the Stress of the historical purpose pressure sensing results, or
If the value of the Stress of the historical purpose pressure sensing results and the value of the Stress of the target intermediate result are to have Whether the value of value corresponding to pressure, the then value and Subcategory that judge the Category of the target intermediate result is empty Value, if null value, is then updated to the historical purpose pressure sensing results for the value of the Category of the target intermediate result Category value, the value of the Subcategory of the target intermediate result is updated to the historical purpose pressure and is perceived As a result the value of Subcategory, otherwise, if the value of the Category of the target intermediate result is not null value, The value of Subcategory is null value, then judges the value and the target of the Category of the historical purpose pressure sensing results Whether the value of the Category of intermediate result is equal, if equal, more by the value of the Subcategory of the target intermediate result It is newly the value of the Subcategory of the historical purpose pressure sensing results.
5. the cyberchat method according to claim 1 for dredging adolescent psychology pressure, which is characterized in that the basis The purpose pressure sensing results obtain target response sentence, comprising:
Determine the type of the first session sentence, wherein the type includes interrogative sentence and non-interrogative sentence;
Judge the first session sentence type whether be non-interrogative sentence and purpose pressure sensing results Stress value It whether is to have value corresponding to pressure, if the type of the first session sentence is non-interrogative sentence, purpose pressure sensing results The value of Stress be have value corresponding to pressure, if the first session sentence type be interrogative sentence, purpose feeling of stress The value for knowing the Stress of result is value corresponding to no pressure, then searches the first knowledge base pre-established, obtain the purpose Answer statement corresponding to the value of the Category of pressure sensing results and the value of Subcategory, and answered what lookup obtained Sentence is answered as the target response sentence, wherein preserved in first knowledge base a plurality of value by Category, The record of value and the answer statement composition of Subcategory, or
If the type of the first session sentence is non-interrogative sentence, the value of the Stress of purpose pressure sensing results is no pressure institute Corresponding value then chooses the target response sentence from the second knowledge base, wherein preserves in second knowledge base a plurality of Answer statement, or
If the type of the first session sentence is interrogative sentence, the value of the Stress of purpose pressure sensing results is right to there is pressure The value answered then obtains the target response sentence from third knowledge base, wherein includes multiple problems in the third knowledge base Sentence and corresponding answer.
6. the cyberchat method according to claim 5 for dredging adolescent psychology pressure, which is characterized in that described from The target response sentence is obtained in three knowledge bases, comprising:
It is obtained and the maximally related problem sentence of the first session sentence from third knowledge base, wherein the third knowledge base In further include the information whether multiple corresponding answers of problem sentence are adopted and the quantity information that corresponding answer is approved of;
It is default to judge whether the matching degree is greater than for the matching degree for calculating the first session sentence Yu maximally related problem sentence Numerical value then judge whether the answer of the maximally related problem sentence is adopted if more than the numerical value, if being adopted, The answer being adopted for approving of quantity most is chosen from the answer being adopted as the target response sentence, alternatively, if not It greater than the numerical value or is not adopted, then randomly selects an encouragement words from the encouragement language that first knowledge base saves Language is as the target response sentence.
7. the cyberchat method according to claim 6 for dredging adolescent psychology pressure, which is characterized in that the calculating The matching degree of the first session sentence and maximally related problem sentence, comprising:
To the maximally related problem sentence QbChinese word segmentation is carried out, and establishes the second dependency tree;
Determine effective node of first dependency tree to u=(u1,u2) and the second dependency tree effective node pair B=(b1,b2), wherein u=(u1,u2), u1For the root node of first dependency tree, u2For with u1With directly interdependent The node of relationship, b1For the root node of second dependency tree, b2For with b1Node with direct dependence;
Calculate the first session sentence QuWith maximally related problem sentence QbMatching degree,
Calculation formula is MatchDegree (Qu,Qb)=α SIM (E (Qu),E(Qb))+(1-α)SIM(E*(Qu),E*(Qb)), In, MatchDegree (Qu,Qb) it is the first session sentence QuWith maximally related problem sentence QbMatching degree, α is constant, α ∈ (0,1), E (Qu) be first dependency tree effective node pair set, E (Qb) it is second dependency tree Effective node pair set, E*(Qu) it is that will be obtained after each node of first dependency tree former substitution of its justice The set of effective node pair of dependency tree, E*(Qb) it is to replace each node of second dependency tree with its adopted original The set of effective node pair of the dependency tree obtained after generation, u*For E*(Qu) element, b*For E* (Qb) element,
8. the cyberchat method according to claim 1 for dredging adolescent psychology pressure, which is characterized in that obtained described Before taking the first session sentence at family, further includes:
The direct log-in instruction of user is received, and the first answer statement is fed back into user, or
The log-in instruction of user is received, and when user authorizes connection microblogging, the original microblogging of user is obtained, according to described original Microblogging judges whether user has pressure mood, if so, the second answer statement is then fed back to user, otherwise, then by third response Sentence feeds back to user.
9. the cyberchat method according to claim 8 for dredging adolescent psychology pressure, which is characterized in that obtained described Before taking the first session sentence at family, further includes:
After first answer statement, the second answer statement or third answer statement are fed back to user, user is obtained The second session sentence, pressure mood and pressure type are carried out to the second session sentence and detected;
If detecting pressure mood in the second session sentence, pressure type is not detected, then the original microblogging is carried out Pressure detecting, and the 4th answer statement is fed back to by user based on the pressure sensing result, or
If detecting pressure mood and pressure type in the second session sentence or not detecting pressure mood, step is executed Rapid S1.
10. a kind of cyberchat device for dredging adolescent psychology pressure characterized by comprising
Unit is established, for obtaining the first session sentence of user, Chinese word segmentation is carried out to the first session sentence, and establish First dependency tree, wherein the root node of first dependency tree is the centre word of the first session sentence, each Child node is the word that the progress Chinese word segmentation obtains, the dependence of each corresponding child node when indicating this;
Computing unit is labeled each node of first dependency tree by the pressure dictionary pre-established, and The path length and pressure subtype node and mood word between pressure type node and mood word node after calculating mark Path length between node obtains intermediate result, wherein the pressure dictionary includes negative word and its interdependent positive feelings Pressure subtype word under thread word, pressure mood word, pressure type word, pressure type word and belong to corresponding to pressure subtype word Pressure subtype scope descriptor, the format of the intermediate result is (Stress, Category:lc, Subcategory: ls), Stress has indicated whether pressure, and Category indicates pressure type word, lcIndicate pressure type word and mood word node it Between path length, Subcategory indicate pressure subtype word, lsIt indicates between pressure subtype word and mood word node Path length;
Extraction unit extracts mesh from the target intermediate result for selecting target intermediate result from the intermediate result Pressure perception as a result, wherein, the format of the purpose pressure sensing results be (Stress, Category, Subcategory);
Acquiring unit for obtaining target response sentence according to the purpose pressure sensing results, and feeds back to user.
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