Patent application number | Description | Published |
20100017391 | POLARITY ESTIMATION SYSTEM, INFORMATION DELIVERY SYSTEM, POLARITY ESTIMATION METHOD, POLARITY ESTIMATION PROGRAM AND EVALUATION POLARITY ESTIMATIOM PROGRAM - An evaluation polarity of reputation information with an unknown evaluation polarity is estimated by utilizing reputation information with a known evaluation polarity. The present polarity estimation system is a polarity estimation system for estimating an evaluation polarity indicating whether reputation information is positive or negative, and includes a reputation information storage part that precedently stores reputation information with a known evaluation polarity; and a polarity estimating means for estimating an evaluation polarity of reputation information with an unknown evaluation polarity on the basis of the reputation information with the known evaluation polarity precedently stored in the reputation information storage part. | 01-21-2010 |
20100121885 | ONTOLOGY PROCESSING DEVICE, ONTOLOGY PROCESSING METHOD, AND ONTOLOGY PROCESSING PROGRAM - To provide a technique for structuralizing ontology in a prescribed form to a structure to which features of data are reflected. An ontology processing device has a structuralizing device for structuralizing properties of the ontology in the prescribed form generated from a set of instance data containing a combination of a subject, a property, and an object expressed with a character string according to the features of the object, and has a ontology storage device which stores the ontology structuralized by the structuralizing device. With this structure, the properties of the ontology in the prescribed form are corrected or expressed as an ontology structure by reflecting the characteristics of a set of the objects obtained from the data. | 05-13-2010 |
20100318525 | ATTRIBUTE EXTRACTION METHOD, SYSTEM, AND PROGRAM - Sets of strings of which the drawing positions are arranged in one direction are extracted from a document as attribute groups. An attribute name score is calculated for each attribute group to determine an extent to which each attribute group is a set of attribute names. Based on the attribute name scores, an attribute name group is selected out of the attribute groups. From among the attribute groups, an attribute group which includes a string which is the same as at least one string of the attribute name group and of which the drawing position is the same as that of the string of the attribute name group is selected. From the string at the same drawing position, an attribute name is extracted. From the other strings of the selected attribute group than those at the same drawing position, an attribute value corresponding to the attribute name is extracted. | 12-16-2010 |
20110029303 | WORD CLASSIFICATION SYSTEM, METHOD, AND PROGRAM - A word classification system is provided with an inter-word pattern learning section for learning at least either the context information or the layout information between classification-known words which co-appear and creating an inter-word pattern for determining whether data relating to a word pair which is a combination of words is data relating to a same-classification word pair which is the combination of words in the same classification or data relating to a different-classification word pair which is a combination of words in different classifications on the basis of the relationship between the classification-known words which co-appear in a document. | 02-03-2011 |
20110055228 | COOCCURRENCE DICTIONARY CREATING SYSTEM, SCORING SYSTEM, COOCCURRENCE DICTIONARY CREATING METHOD, SCORING METHOD, AND PROGRAM THEREOF - A cooccurrence dictionary creating system includes: a language analyzing section which subjects a text to a morpheme analysis, a clause specification, and a modification relationship analysis between clauses, a cooccurrence relationship collecting section which collects cooccurrences of nouns in each clause of the text, modification relationships of nouns and declinable words, and modification relationships between declinable words as cooccurrence relationships, a cooccurrence score calculating section which calculates a cooccurrence score of the cooccurrence relationship based on a frequency of the collected cooccurrence relationship, and a cooccurrence dictionary storage section which stores a cooccurrence dictionary in which a correspondence between the calculated cooccurrence score and the cooccurrence relationship is described. | 03-03-2011 |
20110153615 | DATA CLASSIFIER SYSTEM, DATA CLASSIFIER METHOD AND DATA CLASSIFIER PROGRAM - A data classifier system of the present invention selects a plurality of classifications correlated to data groups so as to output classification axes based on hierarchical classifications and data groups. The data classifier system includes a basic category accumulation means, a classification axis candidate reduction means and a priority calculation means. The basic category accumulation means accumulates classifications serving as basic categories used for desired classifications in advance. The classification axis candidate reduction means selects a plurality of classifications from among classifications descendant from each basic category so as to create classification axis candidates, thus reducing classification axis candidates subjected to calculations based on data quantity of classifications and hierarchical distances of classifications. The priority calculation means calculates priority in displaying classification axis candidates, the number of which is reduced by the classification axis candidate reduction means. | 06-23-2011 |
20110161144 | INFORMATION EXTRACTION SYSTEM, INFORMATION EXTRACTION METHOD, INFORMATION EXTRACTION PROGRAM, AND INFORMATION SERVICE SYSTEM - According to the present invention, phrases of the same kind can be extracted from a plurality of documents having various formats. A storage device stores a plurality of documents that have various formats. A pattern candidate creating unit receives a list of input words that are selected as samples among phrases that are to be included in a dictionary. The pattern candidate creating unit selects one document, determines forward and backward character strings of input words in the selected document as candidates of patterns, and stores the forward and backward character strings as a pattern candidate. The pattern candidate creating unit executes the above processes for each of the documents. A phrase candidate creating unit extracts phrases interposed between patterns included in the pattern candidate as candidates of phrases to be output, and stores the extracted phrases as a phrase candidate. A phrase selecting unit outputs a candidate of a phrase satisfying a predetermined condition among candidates of phrases included in the phrase candidate as an output word to an output device. | 06-30-2011 |
20110167027 | INFORMATION ANALYSIS APPARATUS, INFORMATION ANALYSIS METHOD, AND COMPUTER-READABLE RECORDING MEDIUM - An information analysis apparatus, an information analysis method, and a program are provided that enable target information to be determined in units of single sentences, rather than in units of plural sentences, while taking into consideration the tendency of appearance of the target information. An information analysis apparatus | 07-07-2011 |
20110179037 | DATA CLASSIFIER SYSTEM, DATA CLASSIFIER METHOD AND DATA CLASSIFIER PROGRAM - A data classifier system of the present invention selects a plurality of classifications correlated to data groups so as to output classification axes based on hierarchical classifications and data groups. The data classifier system includes a basic category accumulation means, a classification axis candidate creation means and a priority calculation means. The basic category accumulation means accumulates classifications serving as basic categories used for selecting desired classifications in advance. The classification axis candidate creation means creates classification axis candidates based on combinations of classifications each correlated to at least one data among descendant classifications of each basic category. The priority calculation means calculates priorities with respect to the classification axis candidates created by the classification axis candidate creation means based on hierarchical distances of classifications in the classified hierarchy. | 07-21-2011 |
20120030157 | TRAINING DATA GENERATION APPARATUS, CHARACTERISTIC EXPRESSION EXTRACTION SYSTEM, TRAINING DATA GENERATION METHOD, AND COMPUTER-READABLE STORAGE MEDIUM - The disclosed apparatus uses a training data generation apparatus | 02-02-2012 |
20120071176 | BASE STATION APPARATUS, EDGE USER ESTIMATION METHOD, AND PROGRAM - A base station apparatus that estimates whether or not each terminal device belonging to a communication cell of the present apparatus is present in an end area of the cell. The apparatus includes a reception device that receives from each terminal device, transmission power information which indicates transmission power of the terminal device; a registration device that successively registers the transmission power information with a storage device; a statistical processing device that computes a statistic used for estimating the terminal device present in the end area of the communication cell, with respect to a population which is the transmission power information stored in the storage device; a candidate extraction device that extracts candidates for the terminal device present in the end area of the communication cell, based on the statistic computed by the statistical processing device; and an estimation device that estimates the terminal device present in the end area of the communication cell from among the candidates extracted by the candidate extraction device. | 03-22-2012 |
20120143801 | INFORMATION CLASSIFICATION DEVICE, INFORMATION CLASSIFICATION METHOD, AND COMPUTER READABLE RECORDING MEDIUM - An information classification device ( | 06-07-2012 |
20120259855 | DOCUMENT CLUSTERING SYSTEM, DOCUMENT CLUSTERING METHOD, AND RECORDING MEDIUM - In the provided document clustering system ( | 10-11-2012 |
20120303611 | INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND COMPUTER-READABLE RECORDING MEDIUM - The information processing device | 11-29-2012 |
20120310944 | DICTIONARY CREATION DEVICE - A boundary word identification unit ( | 12-06-2012 |
20130006636 | MEANING EXTRACTION SYSTEM, MEANING EXTRACTION METHOD, AND RECORDING MEDIUM - A meaning extraction device includes a clustering unit, an extraction rule generation unit and an extraction rule application unit. The clustering unit acquires feature vectors that transform numerical features representing the features of words having specific meanings and the surrounding words into elements, and clusters the acquired feature vectors into a plurality of clusters on the basis of the degree of similarity between feature vectors. The extraction rule generation unit performs machine learning based on the feature vectors within a cluster for each cluster, and generates extraction rules to extract words having specific meanings. The extraction rule application unit receives feature vectors generated from the words in documents which are subject to meaning extraction, specifies the optimum extraction rules for the feature vectors, and extracts the meanings of the words on the basis of which the feature vectors were generated by applying the specified extraction rules to the feature vectors. | 01-03-2013 |
20130007021 | LINKAGE INFORMATION OUTPUT APPARATUS, LINKAGE INFORMATION OUTPUT METHOD AND COMPUTER-READABLE RECORDING MEDIUM - A linkage information output apparatus includes: a linkage information retrieval unit for acquiring, upon receiving source information, destination information linked with the source information, a frequency of occurrence of the source information, a frequency of occurrence of linked each of the destination information, and a frequency of occurrence of a link of the source information and each of the destination information from a linkage information accumulation unit; a recognition degree calculation unit calculating, based on each acquired frequency of occurrence, a recognition degree of the source information, a recognition degree of each acquired destination information, and a recognition degree of each link; and a high interest information narrowing unit selecting destination information to output from among each destination information based on a combination of two or more among a recognition degree of the source information, a recognition degree of the destination information, and a recognition degree of the link. | 01-03-2013 |
20130117265 | COMMUNICATION ASSISTANCE DEVICE, COMMUNICATION ASSISTANCE METHOD, AND COMPUTER READABLE RECORDING MEDIUM - A communication assistance device ( | 05-09-2013 |
20130117296 | COMMUNICATION ASSISTANCE DEVICE, COMMUNICATION ASSISTANCE METHOD, AND COMPUTER READABLE RECORDING MEDIUM - A communication assistance device ( | 05-09-2013 |
20130262470 | DATA STRUCTURE, INDEX CREATION DEVICE, DATA SEARCH DEVICE, INDEX CREATION METHOD, DATA SEARCH METHOD, AND COMPUTER-READABLE RECORDING MEDIUM - In an inverted list of each node in a taxonomy, among each node, an inverted list of the highest node is a list of integer values indicating an identifier of search subject data, and an inverted list of a node other than the highest node, in place of the identifier, is a list of integer values indicating a position in an inverted list corresponding to a node that is higher by one than the node. Furthermore, a list of integer values in an inverted list of each node is divided into two or more blocks, and a differential value between an integer value and an integer value directly before the integer value in the block is converted into a bit string of a variable length integer code. | 10-03-2013 |
20130282727 | UNEXPECTEDNESS DETERMINATION SYSTEM, UNEXPECTEDNESS DETERMINATION METHOD AND PROGRAM - The present invention more suitably determines whether a combination of words is an unexpected combination by the use of a smaller corpus. Disclosed is an unexpectedness determination system provided with: category identifying means which identifies a category to which a word belongs; category co-occurrence frequency identifying means which identifies a category co-occurrence frequency between two categories; unexpectedness index calculating means which calculates an index representing a degree of unexpectedness of a combination of two words. The category identifying means identifies a first category, to which an inputted first word belongs, and a second category, to which an inputted second word belongs, the category co-occurrence frequency identifying means identifies the category co-occurrence frequencies between the first category and categories other than the first category, and the unexpectedness index calculating means calculates an index representing the degree of unexpectedness of a combination of the first word and the second word on the basis of the category co-occurrence frequency identified by the category co-occurrence frequency identifying means. | 10-24-2013 |
20130332401 | DOCUMENT EVALUATION APPARATUS, DOCUMENT EVALUATION METHOD, AND COMPUTER-READABLE RECORDING MEDIUM - In order to accurately learn a function for evaluating documents, even in the case where sample documents having missing feature values are included as training data, a document evaluation apparatus is provided with a data classification unit ( | 12-12-2013 |
20140114930 | RELIABILITY CALCULATION APPARATUS, RELIABILITY CALCULATION METHOD, AND COMPUTER-READABLE RECORDING MEDIUM - In order to calculate a reliability that serves as an index of reliableness of an evaluator who evaluated a document, a reliability calculation apparatus ( | 04-24-2014 |