CN105740223A - Information processing equipment and information processing method - Google Patents
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Abstract
The invention provides an information processing method and a piece of information processing equipment. The information processing method comprises the steps that first information related to a processed object is acquired, wherein the first information comprises processed object information and first evaluation information about evaluation of the processed object; class information of the processed object is acquired; based on the class information as well as the processed object information and the first evaluation information contained in the first information, first evaluation result information about the processed object is determined according to preset rules; and the first evaluation result information is output.
Description
Technical field
The present invention relates to the field of information processing, more particularly it relates to an messaging device and information processing method.
Background technology
Along with the development of information technology, the natural language processing technique being analyzed for human language obtains increasing concern.In natural language processing technique, sentiment analysis is an important task, it is intended to find the subjective Sentiment orientation wherein contained from text.Sentiment analysis such as may be used for obtaining user in user is for the comment of product for the front of commented on product and negative emotion.
But, due to the multiformity of enterprise product and the intrinsic polysemy of natural language, for specific products, some seem objectively true and describe the subjective emotion not only containing user, and can produce antipodal feeling polarities according to product category.Such as: user mentions " sound is little " in comment, this is probably front for the product of such as fan and describes, and represents that product noise is little, quiet；And for the product of such as mobile phone, it is probably negative description, and to put outside typicallying represent or the sound of receiver is little, user cannot not hear prompting or call.
In traditional sentiment analysis, it is only capable of the description to the emotion word comprising such as " beautiful ", " ugly " etc. to analyze feeling polarities, description for such as " sound is little " as above etc. is then processed into objective description, feeling polarities can't be given, thus cause cannot the emotion of accurate analysis user for it.
Summary of the invention
Because above-mentioned situation, the invention provides a kind of messaging device and information processing method, it can carry out suitable sentiment analysis according to product category for the natural language described as neutrality in prior art, thus accurately obtaining the emotion that user expects to express, so that carry out subsequent treatment better according to the emotion of user, as improved product, analyzing user preferences etc..
According to one embodiment of the invention, it is provided that a kind of information processing method, including: obtaining the first information relevant to processing object, the described first information includes the first evaluation information processing object information and the evaluation about described process object；Obtain the classification information of described process object；Based on described process object information included in described classification information and the described first information and described first evaluation information, determine the first evaluation result information about described process object according to pre-defined rule；And export described first evaluation result information.
Described pre-defined rule is created by following steps: based on described process object information, described first evaluation information and described classification information, obtain default evaluation result information from user；And described default evaluation result information is set to the described first evaluation result information being associated with described process object information, described first evaluation information and described classification information, thus setting up described pre-defined rule.
Described pre-defined rule is created by following steps: based on described process object information, described first evaluation information and described classification information, the historical information relevant to described process object carries out keyword retrieval, to obtain second information relevant to described process object, described second information includes described process object information, described first evaluation information, described classification information and the history evaluation object information being associated；And described history evaluation object information is set to the described first evaluation result information being associated with described process object information, described first evaluation information and described classification information, thus setting up described pre-defined rule.
Described pre-defined rule is created by following steps: obtaining threeth information relevant to described process object, described 3rd information includes described process object information, described first evaluation information, described classification information and additional information；Based on described additional information, described 3rd information is carried out semantics recognition, to generate default evaluation result information；And described default evaluation result information is set to the described first evaluation result information being associated with described process object information, described first evaluation information and described classification information, thus setting up described pre-defined rule.
The described first information also includes the second evaluation information of the evaluation about described process object, and described information processing method also includes: based on described second evaluation information, it is determined that about the second evaluation result information of described process object；And based on described first evaluation result information and described second evaluation result information, it is determined that final evaluation result information.
According to another embodiment of the present invention, provide a kind of messaging device, including: the first acquiring unit, obtain the first information relevant to processing object, the described first information includes the first evaluation information processing object information and the evaluation about described process object；Second acquisition unit, obtains the classification information of described process object；First determines unit, based on described process object information included in described classification information and the described first information and described first evaluation information, determines the first evaluation result information about described process object according to pre-defined rule；And output unit, export described first evaluation result information.
Described messaging device also includes rule creation unit, and described rule creation unit includes: the 3rd acquiring unit, based on described process object information, described first evaluation information and described classification information, obtains default evaluation result information from user；And unit is set, described default evaluation result information is set to the described first evaluation result information being associated with described process object information, described first evaluation information and described classification information, thus setting up described pre-defined rule.
Described messaging device also includes rule creation unit, described rule creation unit includes: the 4th acquiring unit, based on described process object information, described first evaluation information and described classification information, the historical information relevant to described process object carries out keyword retrieval, to obtain second information relevant to described process object, described second information includes described process object information, described first evaluation information, described classification information and the history evaluation object information being associated；And unit is set, described history evaluation object information is set to the described first evaluation result information being associated with described process object information, described first evaluation information and described classification information, thus setting up described pre-defined rule.
Described messaging device also includes rule creation unit, described rule creation unit includes: the 5th acquiring unit, obtaining threeth information relevant to described process object, described 3rd information includes described process object information, described first evaluation information, described classification information and additional information；Semantics recognition unit, based on described additional information, carries out semantics recognition to described 3rd information, to generate default evaluation result information；And unit is set, described default evaluation result information is set to the described first evaluation result information being associated with described process object information, described first evaluation information and described classification information, thus setting up described pre-defined rule.
The described first information also includes the second evaluation information of the evaluation about described process object；Described messaging device also includes: second determines unit, based on described second evaluation information, it is determined that about the second evaluation result information of described process object；And the 3rd determine unit, based on described first evaluation result information and described second evaluation result information, it is determined that final evaluation result information.
In the information processing method and messaging device of the embodiment of the present invention, obtain the classification information of user's evaluation information for a certain feature of a certain product and described product, and determine the evaluation result for described feature based on the classification information of described product, thus, seemingly neutral description for product suitable sentiment analysis can be carried out according to product category, thus accurately obtaining the emotion that user expects to express, so that carry out subsequent treatment better according to the emotion of user, as improved product, analyzing user preferences etc..
Accompanying drawing explanation
Fig. 1 is the flow chart illustrating information processing method according to embodiments of the present invention；And
Fig. 2 is the block diagram of the main configuration illustrating messaging device according to embodiments of the present invention.
Detailed description of the invention
The embodiment of the present invention is described in detail below with reference to accompanying drawing.
The information processing method of the embodiment of the present invention and messaging device are for processing natural language.When such as ecommerce, the information processing method of the embodiment of the present invention and messaging device can apply to the server of such as e-commerce website.
Certainly, skilled artisans appreciate that, the information processing method of the embodiment of the present invention and messaging device are not limited to be applied to the server of described e-commerce website, but can apply to the information processing terminal (such as mobile phone) of the user of e-commerce website, or it is applied to third-party server that be separated, obtain information from described e-commerce website with the server of described e-commerce website.
In addition, those skilled in the art it is also understood that, although being described for ecommerce occasion below, but, information processing method and the messaging device of the embodiment of the present invention are not limited to this, but can apply to any occasion needing natural language carries out the process of such as sentiment analysis.
Below, the information processing method of the embodiment of the present invention will be described in detail with reference to Fig. 1.
As it is shown in figure 1, first, in step S101, described information processing method obtains the first information relevant to processing object.
Specifically, the described first information can include the first evaluation information of process object information and the evaluation about described process object.More specifically, when such as ecommerce, each commodity can have multiple different feature.Such as, when mobile phone, described mobile phone can have such as outward appearance, sound, weight etc. for evaluating the feature of mobile phone from different aspect.Thus, user can deliver such as the evaluation of " beautiful ", " little ", " gently " etc..
In this manual, described feature is properly termed as process object, information about described feature is properly termed as process object information, information about described commodity is properly termed as the classification information of described process object, and the information of the evaluation about described process object is properly termed as the first evaluation information, the second evaluation information etc..When being made without distinguishing, described first evaluation information, described second evaluation information etc. may be collectively referred to as evaluation information.
In the first embodiment, described information processing method receives the process object information for particular commodity and the first evaluation information from user, for instance the information of " sound is little ".Specifically, in one example, described information processing method can from processing object information and described first evaluation information described in user's real-time reception.In another example, process object information and the first evaluation information that user inputs can be stored in the data base of described server, and described information processing method can obtain described process object information and described first evaluation information from data base.
In a second embodiment, for particular category, described information processing method obtains the process object information pre-set from data base, for instance the information of " sound ", and only receives the first evaluation information from user, for instance the information of " little ".Specifically, in one example, for particular commodity, described information processing method can automatically or pre-set some process objects by system manager, for instance " sound ", " outward appearance " etc., and described process object information is stored in data base.When such as ecommerce, described system manager can be such as the e-commerce website personnel for administrative evaluation information, and described management includes arranging the operation processing object and the as described below operation creating pre-defined rule etc. as above.The operation of described establishment pre-defined rule includes as described below to described first evaluation information operation providing corresponding evaluation result etc..
Thus, when the information processing method of the embodiment of the present invention starts, the information generated based on described process object information is sent to user, to point out user to input about the evaluation information processing object pre-set, i.e. described first evaluation information.
It follows that in step S102, described information processing method obtains the classification information of described process object.Specifically, in the first embodiment, described classification information can be included in the described first information explicitly with described process object information and described first evaluation information.Thus, described information processing method can from the classification information processing object described in described first information extracting directly.In a second embodiment, described classification information is not contained in the described first information, but is associated with the described first information.Thus, described information processing method based on the described first information, can obtain the classification information being associated.Certainly, the acquisition methods of above-described classification information is merely illustrative.Those skilled in the art can also pass through various methods in addition and obtain the classification information of described process object, and it is intended to be included within.
Hereafter, described information processing method proceeds to step S103, based on described process object information included in described classification information and the described first information and described first evaluation information, determine the first evaluation result information about described process object according to pre-defined rule.
Specifically, pre-defined rule here is the criterion of the sentiment analysis for carrying out natural language, which specify the evaluation result information corresponding with the combination of described classification information, described process object information and described first evaluation information.Thus, described processing method can based on the rule of the combination for described classification information, described process object information and described first evaluation information, it is determined that the evaluation result information being associated with combinations thereof in described rule, as described first evaluation result information.
Described pre-defined rule can be set up by various modes, is described in detail below in conjunction with several concrete examples.
In the first concrete example, when such as above-mentioned ecommerce, described pre-defined rule creates based on described being manually entered of system manager of the server of the described information processing method of application.Such as, described information processing method based on described process object information, described first evaluation information and described classification information, can obtain default evaluation result information from user.Specifically, the combination of described classification information, described process object information and described first evaluation information can be presented to described system manager by described information processing method in the way of such as showing, and combinations thereof is provided corresponding default evaluation result by prompt system manager, thus receive the default evaluation result information that described system manager inputs, and be set to the described first evaluation result information being associated with described process object information, described first evaluation information and described classification information.
Such as, described information processing method can pass through display and show the combined information of " fan ", " sound " and " little " to system manager, and prompt system manager inputs the default evaluation result corresponding with combinations thereof information.When system manager inputs the evaluation information of such as " good " or full marks evaluation or other metric forms, this default evaluation result and combinations thereof information are stored by described information processing method explicitly, thus generate a rule: fan-sound-little-good.
That is, in this example, described process object information, described first evaluation information, described classification information and described default evaluation result information are stored in data base as an entry by described information processing method explicitly, thus creating a pre-defined rule.Thus, data base can store the multiple entries generated by repeating the above in the way of such as list, thus creating a plurality of pre-defined rule.
The information processing method of this example creates rule based on the input of system manager, so that the rule created can the loyal wish reflecting described system manager, so that final the first the exported evaluation result information of information processing method meets the expectation of described system manager, improve experience.
In the second concrete example, described pre-defined rule is automatically created by the equipment (such as server) such as applying described information processing method.Such as, described information processing method can based on described classification information, described process object information and described first evaluation information, the historical information relevant to described process object carries out keyword retrieval, in order to obtain second information relevant to described process object.The process of described keyword retrieval is known to those skilled in the art, is not described in detail in this.Described second information can include described process object information, described first evaluation information, described classification information and the history evaluation object information being associated.Thus, described history evaluation object information can be set to described first evaluation result information by described information processing method, thus setting up described pre-defined rule.
Specifically, when such as above-mentioned ecommerce, for the special characteristic of specific products, server is likely to have accumulated a lot of customer evaluation.Therefore, described information processing method can utilize these existing historical informations automatically to learn.Such as, for the combined information of " fan ", " sound " and " little ", described information processing method can carry out keyword retrieval in historical information, it is thus achieved that all the second information comprising " fan ", " sound " and " little ".Described second information is except comprising combinations thereof information, and the history evaluation result corresponding with combinations thereof information submitted to before also comprising the client buying described commodity, such as the evaluation information of " good " or full marks evaluation or other metric forms.This history evaluation result and combinations thereof information are stored by described information processing method explicitly, thus generate a rule: fan-sound-little-good.
Similarly, described information processing method can also pass through to repeat above procedure for each process object, each classification or each evaluation information, thus creating many rules, and stores it in data base.
The information processing method of this example by learn before storage historical information and automatically create rule so that the rule created can judge consistent with the main flow before client.And, the information processing method of this example is manually entered without described system manager's, alleviates the workload of system manager, improves experience.
In the 3rd concrete example, described pre-defined rule is automatically created by the equipment (such as server) such as applying described information processing method equally.Such as, described information processing method can obtain threeth information relevant to described process object, and described 3rd information includes described process object information, described first evaluation information, described classification information and additional information.It follows that described 3rd information based on described additional information, can be carried out semantics recognition by described information processing method, to generate default evaluation result information, and it is set to described first evaluation result information, thus setting up described pre-defined rule.The process of described semantics recognition is known to those skilled in the art, is not described in detail in this.
Specifically, as it has been described above, when such as above-mentioned ecommerce, for the special characteristic of specific products, server is likely to have accumulated a lot of customer evaluation.Therefore, described information processing method can utilize these existing historical informations automatically to learn.Such as, described information processing method can obtain the historical information submitted to before the client buying described commodity, and it not only comprises the combined information of " fan ", " sound " and " little ", also includes such as the additional information of " not affecting sleep completely " etc..Described information processing method can carry out semantics recognition based on described additional information, to determine that the default evaluation result corresponding with combinations thereof information is for such as " good " or full marks evaluation or other metric forms.Thus, this default evaluation result information and combinations thereof information are stored by described information processing method explicitly, thus generate a rule: fan-sound-little-good.
Similarly, described information processing method can also pass through to repeat above procedure for each process object, each classification or each evaluation information, thus creating many rules, and stores it in data base.
The information processing method of this example automatically creates rule again by the historical information stored before study, the rule created it is possible to be judged by the language expression of client the actual wishes of client when lacking the clear and definite evaluation result information before client, so that can judge consistent with the main flow before client.And, the information processing method of this example is manually entered without described system manager's, alleviates the workload of system manager, improves experience.It is to be noted, although describing described information processing method based on three concrete examples herein above to create the detailed process of rule, but, skilled artisans appreciate that, the information processing method of the embodiment of the present invention can create rule in other various modes, and it is intended to be included within.
In addition, although describing described information processing method based on three concrete examples herein above to create the detailed process of rule, but, skilled artisans appreciate that, the concrete example of above three and other the various modes not described can be properly carried out combination, jointly to create rule, it is also contained in the scope of the present invention.
After generated described first evaluation result information by the process of step S101-S103 as above, described information processing method proceeds to step S104, exports described first evaluation result information.Specifically, described information processing method can such as to show that the various ways of output, voice output etc. is to export described first evaluation result information.
Above, the information processing method of the embodiment of the present invention is described.In the information processing method of the embodiment of the present invention, the evaluation result for described feature is determined based on user's evaluation information for a certain feature of a certain product category, thus, seemingly neutral description for product feature suitable sentiment analysis can be carried out according to product category, thus accurately obtaining the emotion that user expects to express, so that carry out subsequent treatment better according to the emotion of user, as improved product, analyzing user preferences etc..
It is pointed out that the information processing method of the embodiment of the present invention can also be combined with other various methods for determining evaluation result information.Such as, the described first information also includes the second evaluation information of the evaluation about described process object, and described information processing method can based on described second evaluation information, determine the second evaluation result information about described process object, and based on described first evaluation result information and described second evaluation result information, it is determined that final evaluation result information.
Specifically, described second evaluation information may be embodied in the representation manners that sentiment analysis field is confirmed as having clear and definite Sentiment orientation, such as the relevant information such as " liking ", " disliking ".Described second evaluation information can store in the database with predetermined evaluation result in advance explicitly.Thus, described information processing method based on described second evaluation information, can obtain the second evaluation result information being associated from data base.Described second evaluation result information may be used for assisting described information processing method to determine final evaluation result information.Such as, when described second evaluation result information is consistent with described first evaluation result information, described first evaluation result information can be defined as final evaluation result information by described information processing method.When described second evaluation result information and described first evaluation result information are inconsistent, described information processing method can determine final evaluation result information based on predetermined algorithm.Such as, when described evaluation result information embodies with form of giving a mark, the various modes such as described information processing method can be taked on average, weighted average, determine final evaluation result information based on described first evaluation result information and described second evaluation result information.
Thus, the information processing method of the embodiment of the present invention can when exist explicitly indicate that hobby tendency evaluation information in conjunction with described information to determine final evaluation result information, final evaluation result information is made more verily to reflect the wish of client, thus improving experience.
The information processing method of the embodiment of the present invention is described above by reference to Fig. 1.Below, the messaging device of the embodiment of the present invention will be described with reference to Fig. 2.
As in figure 2 it is shown, the messaging device 200 of the embodiment of the present invention includes the first acquiring unit 201, second acquisition unit 202, first determines unit 203 and output unit 204.
Specifically, described first acquiring unit 201 obtains the first information relevant to processing object, and the described first information includes the first evaluation information processing object information and the evaluation about described process object.Described second acquisition unit 202 obtains the classification information of described process object.Described first determines that unit 203 is based on described process object information included in described classification information and the described first information and described first evaluation information, determines the first evaluation result information about described process object according to pre-defined rule.Described output unit 204 exports described first evaluation result information.
In one embodiment, described messaging device 200 also includes rule creation unit, described rule creation unit includes: the 3rd acquiring unit, based on described process object information, described first evaluation information and described classification information, obtains default evaluation result information from user；And unit is set, described default evaluation result information is set to the described first evaluation result information being associated with described process object information, described first evaluation information and described classification information, thus setting up described pre-defined rule.
In another embodiment, described messaging device 200 also includes rule creation unit, described rule creation unit includes: the 4th acquiring unit, based on described process object information, described first evaluation information and described classification information, the historical information relevant to described process object carries out keyword retrieval, to obtain second information relevant to described process object, described second information includes described process object information, described first evaluation information, described classification information and the history evaluation object information being associated；And unit is set, described history evaluation object information is set to the described first evaluation result information being associated with described process object information, described first evaluation information and described classification information, thus setting up described pre-defined rule.
In another embodiment, described messaging device 200 also includes rule creation unit, described rule creation unit includes: the 5th acquiring unit, obtaining threeth information relevant to described process object, described 3rd information includes described process object information, described first evaluation information, described classification information and additional information；Semantics recognition unit, based on described additional information, carries out semantics recognition to described 3rd information, to generate default evaluation result information；And unit is set, described default evaluation result information is set to the described first evaluation result information being associated with described process object information, described first evaluation information and described classification information, thus setting up described pre-defined rule.
In another embodiment, the described first information also includes the second evaluation information of the evaluation about described process object；Described messaging device 200 also includes second and determines unit, based on described second evaluation information, it is determined that about the second evaluation result information of described process object；And the 3rd determine unit, based on described first evaluation result information and described second evaluation result information, it is determined that final evaluation result information.
The concrete configuration of each unit of described messaging device and operation be detailed description in the information processing method with reference to Fig. 1, is not repeated at this.
In the messaging device of the embodiment of the present invention, the evaluation result for described feature is determined based on user's evaluation information for a certain feature of a certain product category, thus, seemingly neutral description for product feature suitable sentiment analysis can be carried out according to product category, thus accurately obtaining the emotion that user expects to express, so that carry out subsequent treatment better according to the emotion of user, as improved product, analyzing user preferences etc..
Above, see figures.1.and.2 and describe information processing method according to embodiments of the present invention and messaging device.
It should be noted that, in this manual, term " includes ", " comprising " or its any other variant are intended to comprising of nonexcludability, so that include the process of a series of key element, method, article or equipment not only include those key elements, but also include other key elements being not expressly set out, or also include the key element intrinsic for this process, method, article or equipment.When there is no more restriction, statement " including ... " key element limited, it is not excluded that there is also other identical element in including the process of described key element, method, article or equipment.
Furthermore, it is necessary to illustrate, in this manual, the statement of similar " first ... unit ", " second ... unit " is distinguished only for convenient when describing, and is not meant to its two or more unit that must be implemented as physical separation.It is true that as required, described unit can be entirely implemented as a unit, it is also possible to is embodied as multiple unit.
Finally, in addition it is also necessary to explanation, above-mentioned a series of process not only include the process performed in temporal sequence with order described here, and include the process performed parallel or respectively rather than in chronological order.
Through the above description of the embodiments, those skilled in the art is it can be understood that can add the mode of required hardware platform by software to the present invention and realize, naturally it is also possible to implement all through hardware.Based on such understanding, what background technology was contributed by technical scheme can embody with the form of software product in whole or in part, this computer software product can be stored in storage medium, such as ROM/RAM, magnetic disc, CD etc., including some instructions with so that a computer equipment (can be personal computer, server, or the network equipment etc.) perform the method described in some part of each embodiment of the present invention or embodiment.
In embodiments of the present invention, units/modules can realize with software, in order to is performed by various types of processors.For example, the executable code module of a mark can include one or more physics or the logical block of computer instruction, for example, it can be built as object, process or function.However, the executable code of identified module need not be physically located together, but the different instruction in can including being stored in not coordination, when these command logics combine, its Component units/module and realize the regulation purpose of this units/modules.
When units/modules can utilize software to realize, consider the level of existing hardware technique, so units/modules that can be implemented in software, when being left out cost, those skilled in the art can build the hardware circuit of correspondence and realize corresponding function, and described hardware circuit includes ultra-large integrated (VLSI) circuit of routine or the existing quasiconductor of gate array and such as logic chip, transistor etc or other discrete element.Module can also use programmable hardware device, and such as field programmable gate array, programmable logic array, programmable logic device etc. realize.
Above the present invention being described in detail, principles of the invention and embodiment are set forth by specific case used herein, and the explanation of above example is only intended to help to understand method and the core concept thereof of the present invention；Simultaneously for one of ordinary skill in the art, according to the thought of the present invention, all will change in specific embodiments and applications, in sum, this specification content should not be construed as limitation of the present invention.
Claims (10)
1. an information processing method, including:
Obtaining the first information relevant to processing object, the described first information includes the first evaluation information processing object information and the evaluation about described process object；
Obtain the classification information of described process object；
Based on described process object information included in described classification information and the described first information and described first evaluation information, determine the first evaluation result information about described process object according to pre-defined rule；And
Export described first evaluation result information.
2. information processing method as claimed in claim 1, wherein, described pre-defined rule is created by following steps:
Based on described process object information, described first evaluation information and described classification information, obtain default evaluation result information from user；And
Described default evaluation result information is set to the described first evaluation result information being associated with described process object information, described first evaluation information and described classification information, thus setting up described pre-defined rule.
3. information processing method as claimed in claim 1, wherein, described pre-defined rule is created by following steps:
Based on described process object information, described first evaluation information and described classification information, the historical information relevant to described process object carries out keyword retrieval, to obtain second information relevant to described process object, described second information includes described process object information, described first evaluation information, described classification information and the history evaluation object information being associated；And
Described history evaluation object information is set to the described first evaluation result information being associated with described process object information, described first evaluation information and described classification information, thus setting up described pre-defined rule.
4. information processing method as claimed in claim 1, wherein, described pre-defined rule is created by following steps:
Obtaining threeth information relevant to described process object, described 3rd information includes described process object information, described first evaluation information, described classification information and additional information；
Based on described additional information, described 3rd information is carried out semantics recognition, to generate default evaluation result information；And
Described default evaluation result information is set to the described first evaluation result information being associated with described process object information, described first evaluation information and described classification information, thus setting up described pre-defined rule.
5. information processing method as claimed in claim 1, wherein, the described first information also includes the second evaluation information of the evaluation about described process object, and described information processing method also includes:
Based on described second evaluation information, it is determined that about the second evaluation result information of described process object；And
Based on described first evaluation result information and described second evaluation result information, it is determined that final evaluation result information.
6. a messaging device, including:
First acquiring unit, obtains the first information relevant to processing object, and the described first information includes the first evaluation information processing object information and the evaluation about described process object；
Second acquisition unit, obtains the classification information of described process object；
First determines unit, based on described process object information included in described classification information and the described first information and described first evaluation information, determines the first evaluation result information about described process object according to pre-defined rule；And
Output unit, exports described first evaluation result information.
7. messaging device as claimed in claim 6, also includes rule creation unit, and described rule creation unit includes:
3rd acquiring unit, based on described process object information, described first evaluation information and described classification information, obtains default evaluation result information from user；And
Unit being set, described default evaluation result information being set to the described first evaluation result information being associated with described process object information, described first evaluation information and described classification information, thus setting up described pre-defined rule.
8. messaging device as claimed in claim 6, also includes rule creation unit, and described rule creation unit includes:
4th acquiring unit, based on described process object information, described first evaluation information and described classification information, the historical information relevant to described process object carries out keyword retrieval, to obtain second information relevant to described process object, described second information includes described process object information, described first evaluation information, described classification information and the history evaluation object information being associated；And
Unit being set, described history evaluation object information being set to the described first evaluation result information being associated with described process object information, described first evaluation information and described classification information, thus setting up described pre-defined rule.
9. messaging device as claimed in claim 6, also includes rule creation unit, and described rule creation unit includes:
5th acquiring unit, obtains threeth information relevant to described process object, and described 3rd information includes described process object information, described first evaluation information, described classification information and additional information；
Semantics recognition unit, based on described additional information, carries out semantics recognition to described 3rd information, to generate default evaluation result information；And
Unit being set, described default evaluation result information being set to the described first evaluation result information being associated with described process object information, described first evaluation information and described classification information, thus setting up described pre-defined rule.
10. messaging device as claimed in claim 6, wherein, the described first information also includes the second evaluation information of the evaluation about described process object；Described messaging device also includes:
Second determines unit, based on described second evaluation information, it is determined that about the second evaluation result information of described process object；And
3rd determines unit, based on described first evaluation result information and described second evaluation result information, it is determined that final evaluation result information.
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