Abstract: Included are a 2D processing unit 11 that generates 2D latitude and longitude information by dimensionally compressing a feature vector generated from target information, and a map generation unit 12 that generates a 2D map in which a plurality of pieces of target information is plotted on a 2D plane based on a plurality of pieces of latitude and longitude information generated for a plurality of pieces of target information.

Abstract: A document processing device includes: a document classification section configured to sequentially apply a plurality of classification processes in a prescribed sequence to a plurality of documents to classify the plurality of documents into a plurality of groups; and a classification determination section configured to every time one of the plurality of classification processes is applied, determine whether or not each group contains two or more documents. The document classification section, after applying a preceding one of the plurality of classification processes, applies a succeeding one of the plurality of classification processes to the two or more documents in each group determined as containing the two or more documents. The prescribed sequence is an ascending order of an amount of calculation involved in the plurality of classification processes.

Abstract: A word extraction unit 11 that analyzes m texts to extract n words, a vector computation unit 12 that converts each of the m texts into a q-dimension vector and each of the n words into a q-dimension vector, thereby computing m text vectors including q axis components and n word vectors including q axis components, and an index value computation unit 13 that takes each of inner products of the m text vectors and the n word vectors, thereby computing a similarity index value reflecting a relationship between the m texts and the n words are included, and it is possible to obtain a similarity index value representing which word contributes to which text and to what extent as an inner product value by calculating an inner product of a text vector computed from a text and a word vector computed from a word included in the text.

Abstract: An information processing device is configured to identify language of character strings in a text. The information processing device includes a processor and a memory storing a program. The processor is configured to or the program, when executed by the processor, causes the processor to: identify a first character, which is used commonly in a plurality of languages, in an input text; infer to which one of the plurality of languages the first character belongs based on a second character used only in one of the plurality of languages in the input text; and infer that the first character belongs to a language that is the one of the plurality of languages to which the second character belongs, based on whether a string of characters immediately preceding or following the first character in the input text contains the second character.

Abstract: A correlation display system, correlation display method, and correlation display program capable of outputting the relationship between a plurality of persons in a manner visibly recognizable by a user are provided. A correlation display system 1 includes: a communication data acquisition unit 10 that acquires communication data transmitted and received between a plurality of terminals and thereby associated with each of a plurality of persons; an analysis unit 12 that analyzes content of the communication data acquired by the communication data acquisition unit 10; an evaluation unit 16 that evaluates the relationship between the content of the communication data and a predetermined event by using an analysis result of the analysis unit 12; and a display unit 18 that displays the relationship between a plurality of persons related to the event on the basis of an evaluation result of the evaluation unit 16.

Abstract: Provided is a data analysis system that generates effective information affecting a user's tendency to buy a product and service. The data analysis system analyzes data to generate information on a tendency of a user, and includes: a memory that stores at least temporarily a plurality of evaluation data to be analyzed; and a controller that evaluates each of the plurality of evaluation data based on training data, wherein the controller extracts first information from the plurality of evaluation data based on results of the evaluation of the plurality of evaluation data, extracts second information from the training data based on a characteristic pattern included in the first information, and generates the information on the tendency of the user from the first information and the second information.

Abstract: An information processing method includes: obtaining a first evaluation result representing performance of a first machine learning model having learned using first learning data, the first evaluation result being calculated using first validation data; obtaining a second evaluation result representing performance of a second machine learning model having learned using second learning data, the second evaluation result being calculated using second validation data; and calculating, based on the first evaluation result and the second evaluation result, a comprehensive evaluation result representing performance of a single machine learning model including the first machine learning model and the second machine learning model, the performance of the single machine learning model being predicted when the single machine learning model is applied to unevaluated, unknown data relevant to a prescribed event.

Abstract: An object is to efficiently generate a list of data elements that complement a given key element. A computer includes a memory and a controller, wherein the memory stores data, and the controller performs: selection processing of selecting data elements in vicinity of a predetermined data element as cooccurrence data elements; calculation processing of calculating a degree of importance of each cooccurrence data element; and presentation processing of presenting the cooccurrence data elements.

Abstract: [Problem to be Solved] Provided is a computer system that can accurately evaluate data to be analyzed without adding training data. [Solution] The computer system forms, from a matrix based on a co-occurrence frequency of first data elements forming at least one piece of data out of a plurality of data and second data elements appearing in vicinity of the first data elements, vectors for a plurality of data elements as the first data elements, calculates similarities for the first data elements on the basis of the vectors, and sets evaluation values for the first data elements on the basis of evaluation values corrected in accordance with the similarities.

Abstract: A document processing device includes: a document classification section configured to sequentially apply a plurality of classification processes in a prescribed sequence to a plurality of documents to classify the plurality of documents into a plurality of groups; and a classification determination section configured to every time one of the plurality of classification processes is applied, determine whether or not each group contains two or more documents. The document classification section, after applying a preceding one of the plurality of classification processes, applies a succeeding one of the plurality of classification processes to the two or more documents in each group determined as containing the two or more documents. The prescribed sequence is an ascending order of an amount of calculation involved in the plurality of classification processes.

Abstract: The present invention includes: an extraction unit that extracts a specified quantity of documents, as targets to be classified by a user, from document information; a classification code accepting unit that accepts a classification code which is an identifier used when categorizing the documents, and is assigned by the user to each of the extracted documents; a database that records keywords selected from the extracted documents on the basis of the classification code; a score calculation unit that calculates a score which evaluates linkage strength between documents included in the document information, and the classification code on the basis of the keywords wherein the score calculation unit recalculates the score on the basis of a result of further extraction, by the extraction unit, of a specified quantity of documents, as targets to be classified by the user, from the document information according to the score.

Abstract: It is required to provide a method for classifying a set of data to be examined without a detailed analysis of the content of the set of data to be examined. A data classification system which solves the problem, the data classification system comprising: a data acquiring unit configured to acquire the plurality of data components of the data to be examined; an evaluation component extracting unit configured to extract a plurality of predetermined evaluation components from among the plurality of data components; a score value calculating unit configured to calculate score values for all of the plurality of known types based on the extracted plurality of evaluation components; and a classification determining unit configured to determine that the data to be examined belongs to a type with the highest value among the score values calculated by the score value calculating unit for all of the plurality of known types.

Abstract: A document classification system is provided. The document classification system analyzes digital document information which is collected to be submitted as evidence in a lawsuit and classifies the digital document information.

Abstract: The present invention relates to data analysis for evaluating a plurality of pieces of object data; and the evaluation corresponds to the relation between each piece of object data and a specified case. An index that enables ranking of the plurality of pieces of object data is generated by the evaluation and the index changes based on an input entered by a user. A pattern is extracted that characterizes the reference data from the reference data according to the classification information assigned by the input. The index is determined by evaluating the relation between the object data and the specified case based on the extracted pattern and set to the object data. The plurality of pieces of object data are ranked according to the index and reported the user.

Abstract: A forensic system includes a result information receiving unit that receives result information which is a determination result of connection between a lawsuit and a document group including a predetermined number of documents, which is extracted from document data included in digital information, by a user, an element selection unit that calculates evaluation values of elements which commonly appear in the document group in each result information item from the characteristics of the elements and selects the elements on the basis of the evaluation values, a score calculation unit that calculates a score of each document in the document data from the selected elements included in each document of the document data and the evaluation values of the selected elements, and a recall ratio calculation unit that calculates a recall ratio related to the determination of the connection to the lawsuit on the basis of the score.