CN105630793A - Information weight determination method and device - Google Patents

Information weight determination method and device Download PDF

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Publication number
CN105630793A
CN105630793A CN201410590069.4A CN201410590069A CN105630793A CN 105630793 A CN105630793 A CN 105630793A CN 201410590069 A CN201410590069 A CN 201410590069A CN 105630793 A CN105630793 A CN 105630793A
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information
items
comment text
comment
text
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Chinese (zh)
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伍歆
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Alibaba Group Holding Ltd
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Alibaba Group Holding Ltd
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Priority to CN201410590069.4A priority Critical patent/CN105630793A/en
Publication of CN105630793A publication Critical patent/CN105630793A/en
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Abstract

The invention discloses an information weight determination method and device. The information weight determination method comprises the following steps: obtaining a comment text, wherein the comment text comprises at least one piece of entry information and a score corresponding to the entry information; carrying out text matching on the comment text by using a preset word list so as to obtain scores corresponding to entry information in the preset word list; and processing the score corresponding to each piece of entry information and determining the weight of the corresponding entry information according to the processing result. According to the information weight determination method and device, the comment text is obtained, text matching is carried out on the comment text by using the preset word list so as to obtain the scores corresponding to the entry information in the preset word list, the score corresponding to each piece of entry information is processed and the weight of the corresponding entry information is determined according to the processing result, so that the comment condition of the user can be reflected more accurately by the entry information in the comment text.

Description

The determination method and apparatus of information weight
Technical field
The present invention relates to Internet technical field, particularly relate to the determination method and apparatus of a kind of information weight.
Background technology
Fast development along with Internet technology, for same thing or phenomenon, people can freely express the viewpoint of oneself, such as: user is when commodity are bought in certain Taobao shop, it can be made comments, as fast in logistics, quality is good, buys foundation thus providing when doing shopping these commodity for other users.
For substantial amounts of comment resource, wherein include the emotion word such as front evaluation, unfavorable ratings, simply these emotion word are classified at present. Due to each user to the use sense of same commodity by or fancy grade different, the emotion word used is also different, when the comment of user is carried out data mining, if giving identical weight to the emotion word such as " good ", " very good ", then cannot reflect the comment situation of user exactly.
Summary of the invention
It is contemplated that one of technical problem solved at least to a certain extent in correlation technique. For this, it is an object of the present invention to propose a kind of determination method of information weight, the method can enable the items for information in comment text reflect the comment situation of user more accurately.
Second purpose of the present invention is in that to propose the determination device of a kind of information weight.
For reaching above-mentioned purpose, embodiment proposes a kind of determination method of information weight according to a first aspect of the present invention, including: obtain comment text, wherein, comment text comprises the scoring of at least one items for information and correspondence thereof; Use default vocabulary that described comment text is carried out text matches, to obtain the scoring corresponding with the items for information in described default vocabulary; And respectively the scoring corresponding with each items for information is processed, the weight of corresponding items for information is determined according to result.
The determination method of the information weight of the embodiment of the present invention, by obtaining comment text, use default vocabulary that comment text is carried out text matches, to obtain the scoring corresponding with the items for information in default vocabulary, then respectively the scoring corresponding with each items for information is processed, the weight of corresponding items for information is determined, so that the items for information in comment text can reflect the comment situation of user more accurately according to result.
For reaching above-mentioned purpose, embodiment proposes the determination device of a kind of information weight according to a second aspect of the present invention, including: acquisition module, it is used for obtaining comment text, wherein, comment text comprises the scoring of at least one items for information and correspondence thereof; Matching module, is used for using default vocabulary that described comment text is carried out text matches, to obtain the scoring corresponding with the items for information in described default vocabulary; And processing module, for respectively the scoring corresponding with each items for information being processed, determine the weight of corresponding items for information according to result.
The determination device of the information weight of the embodiment of the present invention, by obtaining comment text, use default vocabulary that comment text is carried out text matches, to obtain the scoring corresponding with the items for information in default vocabulary, then respectively the scoring corresponding with each items for information is processed, the weight of corresponding items for information is determined, so that the items for information in comment text can reflect the comment situation of user more accurately according to result.
The additional aspect of the present invention and advantage will part provide in the following description, and part will become apparent from the description below, or is recognized by the practice of the present invention.
Accompanying drawing explanation
Fig. 1 a is the flow chart one of the determination method of information weight according to an embodiment of the invention.
Fig. 1 b is the flowchart 2 of the determination method of information weight according to an embodiment of the invention.
Fig. 2 is the structural representation of the determination device of information weight according to an embodiment of the invention.
Detailed description of the invention
Being described below in detail embodiments of the invention, the example of described embodiment is shown in the drawings, and wherein same or similar label represents same or similar element or has the element of same or like function from start to finish. The embodiment described below with reference to accompanying drawing is illustrative of, it is intended to is used for explaining the present invention, and is not considered as limiting the invention.
Below with reference to the accompanying drawings the determination method and apparatus of the information weight of the embodiment of the present invention is described.
Fig. 1 a is the flow chart of the determination method of information weight according to an embodiment of the invention.
As shown in Figure 1a, the determination method of this information weight includes:
S101, obtains comment text, wherein, comprises the scoring of at least one items for information and correspondence thereof in comment text.
In an embodiment of the present invention, server can receive the acquisition request that client sends, and based on obtaining all comment texts of the default object of acquisition request. Wherein, comment text can comprise the scoring of at least one items for information and correspondence thereof. For example, presetting object is certain dining room, wherein, in comment text 1 " on the high side, environment is all well and good, services ", contain " on the high side ", " environment is all well and good " and " service " three items for information, and scoring corresponding to three items for information is 3 points; In comment text 2 " on the high side, to service ", contain " on the high side " and " service " two items for information, and scoring corresponding to two items for information is 4 points; In comment text 3 " service ", contain " service " items for information, and scoring corresponding to this items for information is 3 points.
Specifically, user can pass through client and send the request of acquisition, and server, after receiving acquisition request, can return all comment texts presetting object to client based on the request of acquisition.
S102, uses default vocabulary that comment text is carried out text matches, to obtain the scoring corresponding with the items for information in default vocabulary.
Specifically, after obtaining comment text, owing to the data volume of comment text is huge, therefore based on aerial ladder cluster, can use default vocabulary that comment text is carried out text matches, to improve matching efficiency. Wherein, aerial ladder cluster is a kind of Distributed Calculation cluster, and it can be efficiently completed the process of mass data.
After comment text is carried out text matches, the scoring corresponding with the items for information in default vocabulary can be obtained. Wherein, the items for information preset in vocabulary can include comment index and the default word corresponding with each comment index. Such as: comment index can include service, environment, material etc., the word of the expression degree such as default word can include, very good, good.
Continue a upper example to be described, assume that the items for information presetting in vocabulary is " service ", the scoring corresponding in order to obtain this items for information, all comment texts can be carried out text matches, obtain all comment texts comprising " service ", then corresponding scoring is obtained, for instance comment text 1 contains " service " and scoring corresponding to this items for information is 3 points; Comment text 2 contains " service " and scoring corresponding to this items for information is 4 points; Comment text 3 contains " service " and scoring corresponding to this items for information is 3 points.
S103, processes the scoring corresponding with each items for information respectively, determines the weight of corresponding items for information according to result.
Specifically, aerial ladder cluster can be used respectively the scoring corresponding with each items for information to be averaged computing and normalized, finally determine the weight of corresponding items for information.
Continuing a upper example to be described, above three scoring is processed, does average calculating operation, what can be regarded as out items for information " service " is equally divided into (3+4+3)/3=3.3. Owing to " service " is evaluated for front, it is normalized, it is thus achieved that its weight is 3.3.
Again such as: assume that the items for information presetting in vocabulary is " environment is poor ", comment text 1 contains " environment is poor " and scoring corresponding to this items for information is 1 point; Comment text 2 contains " environment is poor " and scoring corresponding to this items for information is 2 points; Containing " environment is poor " in comment text 3 and scoring corresponding to this items for information is 1 point, what can calculate items for information " environment is poor " is equally divided into (1+2+1)/3=1.3. Owing to " environment is poor " is unfavorable ratings, it is normalized, it is thus achieved that its weight is 5-1.3=3.7. It should be appreciated that weighted value is more big, represent that degree is more strong.
Additionally, as shown in Figure 1 b, the determination method of this information weight may also include that
S104, the score information of the weight calculation correspondence comment text of the items for information comprised according to each comment text, and according to score information, comment text is ranked up, and return ranking results to client.
In an embodiment of the present invention, after determine the weight of corresponding items for information according to result, the score information of the weight calculation correspondence comment text of the items for information that also can comprise according to each comment text, and according to score information, comment text is ranked up, then return ranking results to client. Specifically, the weight of the items for information that can be comprised by each comment text is added, it is thus achieved that the score information of corresponding comment text, then according to comment text is ranked up by the order that score information is from high to low. For example, comment text 1 " service, food materials are fresh, environment good " in, the weight of " service " is 4, and the weight that food materials are fresh is 4.5, and the weight of " environment is good " is 4.2, then the score information of comment text 1 can be 4+4.5+4.2=12.7. In comment text 2 " service very good, food materials are fresh especially, environment is general ", the weight of " it is very good to service " is 5, and the weight that food materials are fresh especially is 5, and the weight of " environment is general " is 3, then the score information of comment text 2 can be 5+5+3=13. Finally, according to score information order from high to low, comment text can be ranked up, and return ranking results to client, make the comment text 2 that client first display score information is high, can more intuitively reflect the comment situation to default object, and then provide the user foundation better.
The determination method of the information weight of the embodiment of the present invention, by obtaining comment text, use default vocabulary that comment text is carried out text matches, to obtain the scoring corresponding with the items for information in default vocabulary, then respectively the scoring corresponding with each items for information is processed, the weight of corresponding items for information is determined, so that the items for information in comment text can reflect the comment situation of user more accurately according to result.
In order to realize above-described embodiment, the present invention also proposes the determination device of a kind of information weight.
Fig. 2 is the structural representation of the determination device of information weight according to an embodiment of the invention.
As in figure 2 it is shown, the determination device of information weight includes: acquisition module 110, matching module 120 and processing module 130.
Wherein, acquisition module 110 is used for obtaining comment text, wherein, comprises the scoring of at least one items for information and correspondence thereof in comment text.
In an embodiment of the present invention, acquisition module 110 can receive the acquisition request that client sends, and based on obtaining all comment texts of the default object of acquisition request. Wherein, comment text can comprise the scoring of at least one items for information and correspondence thereof. For example, presetting object is certain dining room, wherein, in comment text 1 " on the high side, environment is all well and good, services ", contain " on the high side ", " environment is all well and good " and " service " three items for information, and scoring corresponding to three items for information is 3 points; In comment text 2 " on the high side, to service ", contain " on the high side " and " service " two items for information, and scoring corresponding to two items for information is 4 points; In comment text 3 " service ", contain " service " items for information, and scoring corresponding to this items for information is 3 points.
Specifically, user can pass through client and send the request of acquisition, and acquisition module 110, after receiving acquisition request, can return all comment texts presetting object to client based on the request of acquisition.
Matching module 120 is used for using default vocabulary that comment text is carried out text matches, to obtain the scoring corresponding with the items for information in default vocabulary.
Specifically, after acquisition module 110 obtains comment text, owing to the data volume of comment text is huge, therefore matching module 120 based on aerial ladder cluster, can use default vocabulary that comment text is carried out text matches, to improve matching efficiency. Wherein, aerial ladder cluster is a kind of Distributed Calculation cluster, and it can be efficiently completed the process of mass data.
After comment text is carried out text matches, the scoring corresponding with the items for information in default vocabulary can be obtained. Wherein, the items for information preset in vocabulary can include comment index and the default word corresponding with each comment index. Such as: comment index can include service, environment, material etc., the word of the expression degree such as default word can include, very good, good.
Continue a upper example to be described, assume that the items for information presetting in vocabulary is " service ", the scoring corresponding in order to obtain this items for information, all comment texts can be carried out text matches, obtain all comment texts comprising " service ", then corresponding scoring is obtained, for instance comment text 1 contains " service " and scoring corresponding to this items for information is 3 points; Comment text 2 contains " service " and scoring corresponding to this items for information is 4 points; Comment text 3 contains " service " and scoring corresponding to this items for information is 3 points.
Processing module 130, for respectively the scoring corresponding with each items for information being processed, determines the weight of corresponding items for information according to result.
Specifically, processing module 130 can use aerial ladder cluster respectively the scoring corresponding with each items for information to be averaged computing and normalized, finally determines the weight of corresponding items for information.
Continuing a upper example to be described, above three scoring is processed, does average calculating operation, what can be regarded as out items for information " service " is equally divided into (3+4+3)/3=3.3. Owing to " service " is evaluated for front, it is normalized, it is thus achieved that its weight is 3.3.
Again such as: assume that the items for information presetting in vocabulary is " environment is poor ", comment text 1 contains " environment is poor " and scoring corresponding to this items for information is 1 point; Comment text 2 contains " environment is poor " and scoring corresponding to this items for information is 2 points; Containing " environment is poor " in comment text 3 and scoring corresponding to this items for information is 1 point, what can calculate items for information " environment is poor " is equally divided into (1+2+1)/3=1.3. Owing to " environment is poor " is unfavorable ratings, it is normalized, it is thus achieved that its weight is 5-1.3=3.7. It should be appreciated that weighted value is more big, represent that degree is more strong.
Additionally, the determination device of information weight may also include order module 140.
In an embodiment of the present invention, after processing module 130 determines the weight of corresponding items for information according to result, the score information of the weight calculation correspondence comment text of the items for information that order module 140 can comprise according to each comment text, and according to score information, comment text is ranked up, then return ranking results to client. Specifically, the weight of the items for information that each comment text can be comprised by order module 140 is added, it is thus achieved that the score information of corresponding comment text, then according to comment text is ranked up by the order that score information is from high to low. For example, comment text 1 " service, food materials are fresh, environment good " in, the weight of " service " is 4, and the weight that food materials are fresh is 4.5, and the weight of " environment is good " is 4.2, then the score information of comment text 1 can be 4+4.5+4.2=12.7. In comment text 2 " service very good, food materials are fresh especially, environment is general ", the weight of " it is very good to service " is 5, and the weight that food materials are fresh especially is 5, and the weight of " environment is general " is 3, then the score information of comment text 2 can be 5+5+3=13. Finally, according to score information order from high to low, comment text can be ranked up, and return ranking results to client, make the comment text 2 that client first display score information is high, allow users to more intuitively, learn exactly the situation of default object.
The determination device of the information weight of the embodiment of the present invention, by obtaining comment text, use default vocabulary that comment text is carried out text matches, to obtain the scoring corresponding with the items for information in default vocabulary, then respectively the scoring corresponding with each items for information is processed, the weight of corresponding items for information is determined, so that the items for information in comment text can reflect the comment situation of user more accurately according to result.
In the description of this specification, specific features, structure, material or feature that the description of reference term " embodiment ", " some embodiments ", " example ", " concrete example " or " some examples " etc. means in conjunction with this embodiment or example describe are contained at least one embodiment or the example of the present invention. In this manual, the schematic representation of above-mentioned term is necessarily directed to identical embodiment or example. And, the specific features of description, structure, material or feature can combine in one or more embodiments in office or example in an appropriate manner. Additionally, when not conflicting, the feature of the different embodiments described in this specification or example and different embodiment or example can be carried out combining and combining by those skilled in the art.
Additionally, term " first ", " second " are only for descriptive purposes, and it is not intended that indicate or imply relative importance or the implicit quantity indicating indicated technical characteristic. Thus, define " first ", the feature of " second " can express or implicitly include at least one this feature. In describing the invention, " multiple " are meant that at least two, for instance two, three etc., unless otherwise expressly limited specifically.
Describe in flow chart or in this any process described otherwise above or method and be construed as, represent and include the module of code of executable instruction of one or more step for realizing specific logical function or process, fragment or part, and the scope of the preferred embodiment of the present invention includes other realization, wherein can not press order that is shown or that discuss, including according to involved function by basic mode simultaneously or in the opposite order, performing function, this should be understood by embodiments of the invention person of ordinary skill in the field.
Represent in flow charts or in this logic described otherwise above and/or step, such as, it is considered the sequencing list of executable instruction for realizing logic function, may be embodied in any computer-readable medium, use for instruction execution system, device or equipment (such as computer based system, including the system of processor or other can from instruction execution system, device or equipment instruction fetch the system performing instruction), or use in conjunction with these instruction execution systems, device or equipment. For the purpose of this specification, " computer-readable medium " can be any can comprise, store, communicate, propagate or transmission procedure is for instruction execution system, device or equipment or the device that uses in conjunction with these instruction execution systems, device or equipment. The example more specifically (non-exhaustive list) of computer-readable medium includes following: have the electrical connection section (electronic installation) of one or more wiring, portable computer diskette box (magnetic device), random access memory (RAM), read only memory (ROM), erasable edit read only memory (EPROM or flash memory), fiber device, and portable optic disk read only memory (CDROM). Additionally, computer-readable medium can even is that the paper that can print described program thereon or other suitable media, because can such as by paper or other media be carried out optical scanning, then carry out editing, interpreting or be processed to electronically obtain described program with other suitable methods if desired, be then stored in computer storage.
Should be appreciated that each several part of the present invention can realize with hardware, software, firmware or their combination. In the above-described embodiment, multiple steps or method can realize with the storage software or firmware in memory and by suitable instruction execution system execution. Such as, if realized with hardware, the same in another embodiment, can realize by any one in following technology well known in the art or their combination: there is the discrete logic of logic gates for data signal realizes logic function, there is the special IC of suitable combination logic gate circuit, programmable gate array (PGA), field programmable gate array (FPGA) etc.
Those skilled in the art are appreciated that realizing all or part of step that above-described embodiment method carries can be by the hardware that program carrys out instruction relevant and complete, described program can be stored in a kind of computer-readable recording medium, this program upon execution, including the step one or a combination set of of embodiment of the method.
Additionally, each functional unit in each embodiment of the present invention can be integrated in a processing module, it is also possible to be that unit is individually physically present, it is also possible to two or more unit are integrated in a module. Above-mentioned integrated module both can adopt the form of hardware to realize, it would however also be possible to employ the form of software function module realizes. If described integrated module is using the form realization of software function module and as independent production marketing or use, it is also possible to be stored in a computer read/write memory medium.
Storage medium mentioned above can be read only memory, disk or CD etc. Although above it has been shown and described that embodiments of the invention, it is understandable that, above-described embodiment is illustrative of, it is impossible to be interpreted as limitation of the present invention, and above-described embodiment can be changed, revises, replace and modification by those of ordinary skill in the art within the scope of the invention.

Claims (14)

1. the determination method of an information weight, it is characterised in that including:
Obtain comment text, wherein, comment text comprises the scoring of at least one items for information and correspondence thereof;
Use default vocabulary that described comment text is carried out text matches, to obtain the scoring corresponding with the items for information in described default vocabulary; And
Respectively the scoring corresponding with each items for information is processed, determine the weight of corresponding items for information according to result.
2. method according to claim 1, it is characterised in that after the described weight determining corresponding items for information according to result, also include:
The score information of the weight calculation correspondence comment text of the items for information comprised according to each comment text, and according to institute's scoring information, described comment text is ranked up, and return ranking results to client.
3. method according to claim 2, it is characterised in that described acquisition comment text, including:
Receive the acquisition request that described client sends, and preset all comment texts of object based on described acquisition acquisition request.
4. method according to claim 1, it is characterised in that described use is preset vocabulary and described comment text is carried out text matches, including:
Use default vocabulary, based on aerial ladder cluster, described comment text is carried out text matches.
5. method according to claim 4, it is characterised in that described respectively the scoring corresponding with each items for information is processed, including:
Described aerial ladder cluster is used respectively the scoring corresponding with each items for information to be averaged computing and normalized.
6. the method according to any one of claim 1-5, it is characterised in that the items for information in described default vocabulary includes comment index and the default word corresponding with each comment index.
7. method according to claim 2, it is characterised in that the score information of the weight calculation correspondence comment text of the described items for information comprised according to each comment text, and according to institute's scoring information, described comment text is ranked up, including:
The weight of the items for information comprised by each comment text is added, it is thus achieved that the score information of corresponding comment text; And
According to score information order from high to low, described comment text is ranked up.
8. the determination device of an information weight, it is characterised in that including:
Acquisition module, is used for obtaining comment text, wherein, comprises the scoring of at least one items for information and correspondence thereof in comment text;
Matching module, is used for using default vocabulary that described comment text is carried out text matches, to obtain the scoring corresponding with the items for information in described default vocabulary; And
Processing module, for respectively the scoring corresponding with each items for information being processed, determines the weight of corresponding items for information according to result.
9. device according to claim 8, it is characterised in that described device also includes:
Order module, for after the described weight determining corresponding items for information according to result, the score information of the weight calculation correspondence comment text of the items for information comprised according to each comment text, and return ranking results to client.
10. device according to claim 9, it is characterised in that described acquisition module, specifically for:
Receive the acquisition request that described client sends, and preset all comment texts of object based on described acquisition acquisition request.
11. device according to claim 8, it is characterised in that described matching module, specifically for:
Use default vocabulary, based on aerial ladder cluster, described comment text is carried out text matches.
12. device according to claim 11, it is characterised in that described processing module, specifically for:
Described aerial ladder cluster is used respectively the scoring corresponding with each items for information to be averaged computing and normalized.
13. the device described in-12 any one according to Claim 8, it is characterised in that the items for information in described default vocabulary includes comment index and the default word corresponding with each comment index.
14. device according to claim 9, it is characterised in that described order module, specifically for:
The weight of the items for information comprised by each comment text is added, it is thus achieved that the score information of corresponding comment text; And
According to score information order from high to low, described comment text is ranked up.
CN201410590069.4A 2014-10-28 2014-10-28 Information weight determination method and device Pending CN105630793A (en)

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