Nec Corporation

Other

Shinichi Ando

Kai Ishikawa

Satoshi Nakazawa

Akihiro Tamura

Shinichi Doi

Kunihiko Sadamasa

Takao Kawai

Kenji Satoh

Yuzuru Okajima

Takafumi Koshinaka

Yoshifumi Onishi

Makoto Terao

Yoshio Ishizawa

Shinichiro Kamei

Toshio Takeda

Kiyoshi Yamabana

Susumu Akamine

Akitoshi Okumura

Kaichiro Hatazaki

Hidekazu Ina

Yoshihiro Ibaraki

Takahiro Okonogi

Yoshiko Matsukawa

Hideji Kawanaka

Noriko Watanabe

Hiroto Teranishi

A natural-language processing system includes a registration-candidate storage section that stores therein registration-candidate dictionary data, a judgment means that compares input data against the registration-candidate dictionary data to thereby judge whether or not the input data includes a word corresponding to the registration-candidate dictionary data, an inquiry means that inquires to a user whether or not corresponding dictionary data is to be registered in a dictionary storage section to accept a user's instruction if it is judged that a corresponding word exists, a dictionary registration means that registers the corresponding dictionary data in the dictionary storage section based on the input instruction, and a natural-language processing means that executes a natural-language processing onto the input data by using the dictionary data registered in the dictionary storage section.

Natural-language processing system and dictionary registration system

A document analysis apparatus comprises: a feature expression acquisition unit acquiring a feature expression appearing during an attention period in an analysis object document collection; a document collection acquisition unit acquiring a feature expression containing document (FECD) collection in which a feature expression appears, from an analysis population including an analysis object document collection; a context determination unit specifying an analysis/FECD corresponding to an analysis object document among a FECD collection for every feature expression, and specifies a context in which the feature expression appeared in multiple analysis/FECDs; a context comparison determination unit specifying a non analysis/FECD not corresponding to an analysis object document among a FECD collection, and within that, compares a context in which the feature expression has appeared and a context specified previously; and a feature degree setting unit performing giving or the like of a feature degree to a feature expression from the comparison.

Document analysis apparatus, document analysis method, and computer-readable recording medium

Described are a reputation analysis device, reputation analysis method, and reputation analysis-use program capable of suitably analyzing temporal changes in reputation for an object indicated by a keyword. The disclosed reputation analysis device is provided with a voluntary activity description extraction means for extracting descriptions representing voluntary activity related to an object indicated by a keyword that has been input from within a plurality of documents; and a reputation chronological data estimation means for counting the number of occurrences of voluntary activity at each time point wherein the voluntary activity expressed by a description representing the voluntary activity related to the object has been performed, and estimating reputation chronological data for chronologically representing evaluations for the object by the agents of the voluntary activity.

Reputation analysis system and reputation analysis method

Disclosed are a text mining method, device, and program capable of performing text mining with a specific topic as an object with high precision. An element identification unit calculates a feature degree, which is an index for indicating a degree that within a text set of interest, which is a set of text that is to be analyzed, an element of the text appears. An output unit identifies distinctive elements within the text set of interest on the basis of the calculated feature degree and outputs the identified elements. The element identification unit corrects the feature degree on the basis of a topic relatedness degree, which is a value indicating a degree related to a topic of analysis, which is a topic for which each text portion of the text being analyzed has been partitioned into predetermined units that are to be analyzed.

Text mining method, text mining device and text mining program

A document analysis device () comprises a common assessment information selection unit () and an event impact analysis unit (). The common assessment information selection unit () identifies information that matches second assessment information that appears in event-related documents which include descriptions concerning a designated specific event, from among first assessment information that appears in documents for analysis which include descriptions relating to items for analysis, and classifies the information thus identified as common assessment information. The event impact analysis unit () counts the number of times the common assessment information appears in the documents that are generated prior to the event occurring, and the number of times the common assessment information appears in the documents for analysis that are generated subsequent to the event occurring, and derives an index that denotes the impact of the specific event upon the documents for analysis, on the basis of the results of the counts thereupon.

Document analysis device, document analysis method, and computer readable recording medium

A language analysis apparatus of the invention includes division rules, each of which is classified into one of levels according to the degree of risk of causing analysis accuracy problems when applied; a division point candidate generation unitwhich, when a character string whose length is greater than the predetermined maximum input length is input, generates division point candidates for the input character string by applying the division rules sequentially one by one in the ascending order of the level of risk of causing problems; a division point adjustment unitwhich, when the length of a division unit candidate obtained by the division point candidate generated by the division point candidate generation unitis less than the maximum input length, selects a combination of division points from among the division point candidates obtained by applying division rules of the same level while ensuring that each division unit is not greater in length than the maximum input length; and a division unitwhich divides an input character string at the division point determined by the division point adjustment unit.

Language analysis apparatus, language analysis method, and language analysis program

A text processing apparatus is provided with a segment determination unitand a descriptive content determination unit. The segment determination unitdetermines, with respect to a homogeneous segment that is similar to segments constituting a first text which is set as an analysis target (analysis target text) and that is included in another first text, whether the content thereof is included in a second text. The descriptive content determination unitdetermines whether each segment constituting the analysis target text should be described in a corresponding second text, based on the determination result.

Text processing apparatus, text processing method, and computer-readable recording medium

Disclosed is an information estimation device for estimating an appropriate issue time from a time representation described in a document without intervention of any operator; wherein an information estimation device () which is a device for estimating an issue time of a document to be estimated, includes a candidate generation unit () which extracts a time representation described in the document, and on the basis of the extracted time representation, generates a plurality of possible issue time candidates having possibilities corresponding to the issue time of the document; and an issue time estimation unit () for obtaining a temporal proximity, for each of the plurality of issue time candidates, between the issue time candidate and other issue time candidates, and on the basis of the obtained temporal proximity, estimating the issue time of the document.

Information estimation device, information estimation method, and computer-readable storage medium

A text mining system including an analysis target search unit which judges whether a commonality in expressions among text data exists, an analysis viewpoint generation unit which generates an analysis viewpoint to extract an expression from the target data, a positive example set identification unit which identifies a positive example set including an expression matching the generated analysis viewpoint in the target data, a characteristic quantity calculation unit which calculates a characteristic quantity showing a degree of characterizing the positive example set of expressions in the target data, and a characteristic expression ranking unit which extracts expressions having the calculated characteristic quantity equal to or greater than a predetermined threshold as characteristic expressions and ranks the extracted characteristic expressions, and the target search unit extracts the analysis viewpoint among which a difference in ranks provided for the characteristic expressions is equal to or greater than a predetermined threshold.

Text mining system for analysis target data, a text mining method for analysis target data and a recording medium for recording analysis target data

A text mining apparatus, a text mining method, and a program are provided that accurately discriminate inherent portions of each of a plurality of text data pieces including a text data piece generated by computer processing. A text mining apparatusto be used performs text mining using, as targets, a plurality of text data pieces including a text data piece generated by computer processing. Confidence is set for each of the text data pieces. The text mining apparatusincludes an inherent portion extraction unitthat extracts an inherent portion of each text data piece relative to another of the text data pieces, using the confidence set for each of the text data pieces.

Text mining apparatus, text mining method, and computer-readable recording medium

An information analysis device includes a correlation value calculation unit which specifies the number of appearances of links between one linguistic expression and other linguistic expression and an appearance time of each link based on link information. The correlation value calculation unit calculates a correlation value between the one linguistic expression and the other linguistic expression according to a degree that the link continuously appears by using the specified number of appearances of the link and the appearance time of each link.

Correlation of linguistic expressions in electronic documents with time information

Provided are a related expression generation section that accepts an evaluation object expression, an linguistic expression to be evaluated, as input and generates a linguistic expression related to the evaluation object expression as a related expression; and a credibility calculation section that acquires the evaluation object expression and the related expression from a plurality of electronic documents along with time information and calculates credibility concerning the meaning of the evaluation object expression at a specific point in time by comparing the number of times that the acquired evaluation object expression appears and the number of times that the acquired related expression appears at the same time point.

Information analyzing device, information analyzing method, information analyzing program, and search system

A request content identification system performs an audio recognition process according to audio data inputted from an input device () and performs a request analysis process by using a common rule stored in common rule storage means () and a request unique rule stored in request unique rule storage means (). Moreover, the request content identification system performs a similar document search process between the audio recognition result and an information request sentence or a reply stored in replay request data storage means (). Request candidate score calculation means () calculates an integrated score from an audio recognition score, a request analysis score, and a similar document search score obtained by the respective processes. Request identification result generation means () identifies the request content having the highest integrated score and sends it to an output device ().

Request content identification system, request content identification method using natural language, and program

It is possible to efficiently evaluate utterance while ensuring the effectiveness of the result of the evaluation. A selection unitselects recognition data, which is used in agent evaluation from a data storage unit, from recognition data generated by a voice recognition uniton the basis of voice data of utterance by applying a selection operation corresponding to evaluation viewpoint information with reference to an evaluation viewpoint management tablethrough an evaluation viewpoint management unit. An evaluation unitdisplays recognition data and plays the voice data by an evaluation viewpoint management unitby applying an output operation corresponding to evaluation viewpoint information with reference to an evaluation viewpoint management table

Monitoring device, evaluation data selecting device, agent evaluation device, agent evaluation system, and program

Provided is a text mining device that performs an analysis properly with respect to a difference between plural related document data. Equipped are an element extracting sectionthat extracts language elements from related two or more document data respectively; a differential processing sectionthat extracts a difference between the document data by comparing the elements between the document data which were extracted by the element extracting means; and a statistical processing sectionthat performs statistical processing on the difference extracted by the differential processing section. The differential processing sectionhas: element associating sectionthat associates respective elements which are in identical, similar, synonymous, or analogous relation by comparing the elements of the document data between the document data which were extracted by the element extracting section; and differential element extracting sectionthat extracts an element with no corresponding element of a pair in the association by the element association section

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Tokyo, Japan

Shinichi Ando