Abstract: A technique for calculating a disease evaluation index using intestinal flora is presented. A disease evaluation index calculation method includes a step of inputting one or more diseases that a user wants to be aware of; a step of extracting the user's intestinal flora data, which is a result of analyzing a stool sample of the user in advance, the user's attribute data, and an association model having a plurality of subjects' attribute data, the subjects' intestinal flora data, which is a result of analyzing stool samples of the subjects, and data on the diseases as internal factors, from a database; and a step of calculating a risk of the diseases using the user's intestinal flora data, the user's attribute data, and the association model.

Abstract: A patent evaluating device comprises a data acquiring section (105) for acquiring items of patent data and patent attribute information on each item of patent data in a predetermined technical field from a patent database, a data classifying section (115) for classifying the acquired items of patent data into groups within a predetermined period of time, and an evaluation value calculating section (120) for calculating the evaluation value of each item of the patent data by using the patent attribute information on each of the patent data belonging to each group and by using the value determined for each group. With this, the value of a patent application or a patent right is adequately evaluated according to numerical information objectively determined and according to the progress information of the patent application or the patent right or the content information.

Abstract: A company technical document group analysis supporting device comprises index term extracting means for extracting an index term from a group of documents of a subject company including a technical document group, clustering means for classifying the document group of the subject company under given conditions to acquire multiple clusters, number-of-documents determination means for determining the number of documents belong to each cluster, appearance frequency calculating means for calculating a function value of an appearance frequency of each extracted index term in each cluster, per-cluster keyword point calculating means for calculating the keyword point in each cluster by dividing the function value of the appearance frequency of each index term in each cluster by the number of documents belonging to each cluster, and entire-cluster keyword point calculating means for calculating the total for the entire clusters of the results of the calculation by the per-cluster keyword point calculating means for e

Abstract: A device comprises first frequency calculating means (142) for calculating a function value IDF(P) of the frequency of an index word in a document (d) to be examined in a group of documents (P) to be compared, second frequency calculating means (171) for calculating a function value IDF(S) of the frequency of the index word in a group of similar documents (S) similar to the document (d), coordinate transforming means (181) for transforming the position of each index word by conformal mapping on a coordinate system where the calculated function value IDF (P) goes on a first axis of the coordinate system and the calculated function value IDF(S) goes on a second axis, and output means (4) for outputting the index words and their positioning data according to the transformed coordinate data of the index words. With this, the character of the document is accurately expressed, or the tendency of the whole of the documents group to be examined can be analyzed.

Abstract: Data on a group of technical documents having an attribute X and an attribute Y is acquired and a score corresponding to the data on the technical documents belonging to the combination of the attribute X and attribute Y is calculated. The attribute X is placed on the horizontal axis and the attribute Y is placed on the vertical axis. The scores are placed in a matrix manner. According to the scores belonging to each column of the arrangement in the matrix, a group of vectors Xj are generated. According to the scores belonging to each row, a group of vectors Yk are generated. For each of the groups of vectors Xj, Yk, vectors having higher association with each other are placed nearer to each other.

Abstract: A device comprises input means (1) for inputting a document (d) to be examined, a group of documents (P) to be compared, and a group of similar documents (S), index word extracting means (120) for extracting an index word in the document (d), first frequency calculating means (143) for calculating in GFIDF(P) of the extracted index word in the document group (P), second frequency calculating means (171) for calculating in GFIDF(S) of the extracted index word in the similar document group (S), and output means (4) for outputting the index words and their positioning data according to the combination of the calculated ln GFIDF(P) and ln GFIDF(S) in the document group to be compared and the similar document group. With this, when a document to be examined is given, the assertion of the document can be easily grasped.

Abstract: A device (100) for automatically creating an information analysis report includes a processing device (1), an input device (2), a recording device (3), and an output device (4). When creating an information analysis report: a document to be surveyed and a document to be compared are specified and inputted; an information analysis condition is inputted; a population document formed by a document group similar to the document to be surveyed is selected from the document to be compared; an index word characteristic to the population document of the document to be surveyed is extracted; according to the population document and the index word, an information analysis report representing the feature of the document to be surveyed is created; and the created information report document is outputted to display means, recording means, or communication means.

Abstract: A document correlation diagram drawing device includes extracting means (20, 30) for extracting content data and time data of document elements (E) each including one or more documents, dendrogram drawing means (50) for drawing a dendrogram showing a correlation between documents on the basis of the content data of the document elements, clustering means (70) for cutting the dendrogram in accordance with a predetermined rule and extracting clusters, and intra-cluster arranging means (90) for determining an intra-cluster arrangement of the document elements belonging to each cluster on the basis of the time data of the document elements. Accordingly, a dendrogram adequately showing the chronological development in each field can be automatically drawn.

Abstract: An index term extraction device including: input means (1) for inputting a document-to-be-surveyed d and documents-to-be-compared P; index term extraction means (120) for extracting an index term from the document-to-be-surveyed d; first appearance frequency calculation means (142) for calculating a function value IDF (P) of the appearance frequency of the extracted index term in the documents-to-be-compared P; similar documents selecting means (160) for selecting similar documents S similar to the document-to-be-surveyed d in the documents-to-be-compared P according to the data on the document-to-be-surveyed d; second appearance frequency calculation means (171) for calculating the function value IDF (S) of the appearance frequency of the extracted index term in the similar documents S; and output means (4) for outputting each index term and its positioning data according to the combination of the function values of the respective appearance frequencies in the documents-to-be-compared and the similar documen

Abstract: Upon selecting the stock portfolio, a plurality of corporate valuation index related data containing an intellectual asset related index is acquired (steps S1 to S6), analysis is performed with the acquired corporate valuation index related data and a company ranking corresponding to at least one prescribed index is created (steps S7 to S13 and S19), a prescribed number of companies is selected from the created company ranking (step S14), an investment ratio is selected in relation to each of the selected companies (step S15), and, based on the obtained distribution result of the investment ratio, a stock portfolio corresponding to the selected company is created and output (steps S16, S17). Therefore, a device for automatically selecting a more preferable stock portfolio based on the results upon performing a comprehensive valuation of companies using a corporate valuation index containing an intellectual asset related index is provided.

Abstract: A keyword extracting device includes high-frequency term extracting means (30) for extracting high-frequency terms which are index terms having a great weight among the index terms in a document group (E) including a plurality of documents (D), the weight including evaluation on the level of an appearance frequency of each index term, clustering means (50) for clustering the high-frequency terms on the basis of a co-occurrence degree C. which is based on the presence/absence of the co-occurrence of each document with the index terms (w) in the document group (E) in each document, score calculating means (70) for calculating a score key(w) of each index term (w) such that a high score is given to the index term among the index terms (w) that co-occurs with the high-frequency term belonging to more clusters (g) and that co-occurs with the high-frequency term in more documents (D), and keyword extracting means (90) for extracting keywords on the basis of the scores.

Abstract: Input of cause-and-effect model information where the coefficients at which three evaluated values, i.e., the evaluated values of business strategy, research-and-development strategy, and intellectual property strategy influence the company evaluated value, the coefficients at which the three evaluated values and the company evaluated value influence the observable indexes respectively, the error variables with which the factors other than the three evaluated values and the company evaluated value give variations to the company evaluated value and the observable indexes respectively are assumed is received. From the inputted the cause-and-effect model information and the observable indexes, the estimates of the coefficients are calculated by covariance structure analysis. From the coefficients and the observable indexes, the three evaluated values and the company evaluated value are calculated. With this, the relationship among the three strategies which are directly nonobservable abstract factors, i.e.

Abstract: [PROBLEMS] A theoretical stock price computing device and so forth for automatically computing an objective theoretical stock price based on the result obtained by synthetically evaluating a company according to company evaluation indexes including intellectual property related indexes are provided.

Abstract: [PROBLEMS] To provide a device for identifying factor and/or index contributing to company evaluation enabling comprehensive evaluation of a company or industry in an easy way.

Abstract: [PROBLEMS] To provide a company evaluation device enabling comprehensive evaluation of a company or industry in an easy way.

Abstract: An enterprise evaluation system and an enterprise evaluation program capable of evaluating the value of an enterprise by analyzing the search and development strategy or the intellectual property strategy of the enterprise. Among patent applications filed by a specified enterprise within a specified period, required registration period is calculated for individual applications by subtracting the date of application from the date of registration of a patent subjected to registration of setting, an average required registration period is calculated from the required registration periods thus calculated and delivered to a display means (372), a print means (e.g. a printer (32)) and a recording medium (377) or delivered to many communication apparatuses through a communication line. A user can recognize on which technical field an enterprise under inspection is placing emphasis or in which technical field the invention is positioned defensively, and can judge the attitude of the enterprise toward patent.

Abstract: There are provided an enterprise evaluation device and an enterprise evaluation program capable of analyzing research and development strategy and intellectual property strategy together with information on financial affairs of an enterprise, thereby evaluating the enterprise value.

Abstract: There are provided an enterprise evaluation device and an enterprise evaluation program capable of acquiring a profit of a particular enterprise and the number of patents owned by the particular enterprise and calculating and outputting an index indicating a profit per one patent (or utility model) of the total number of patents. A manufacturing/sales profit and patent royalty income in a particular enterprise within a first predetermined period are acquired from financial affair database containing enterprise financial affair information. The official gazettes of patent applications registered by the particular enterprise within a second predetermined period are acquired from the database. The number of patents or the number of patent claims registered within a predetermined period is acquired as the number of inventions from the official gazettes. The number of inventions which have vanished until a predetermined time is acquired.

Abstract: There are provided an enterprise evaluation device and an enterprise evaluation program for reporting a sales amount and an analysis result of intellectual property of an enterprise to a user so as to evaluate the enterprise value.

Abstract: There are provided an enterprise evaluation device and an enterprise evaluation program capable of calculating and outputting an index for judging the attitude of a particular enterprise for research and development according to the investment size for the research and development activities. The enterprise evaluation device includes: financial affair information acquisition means for acquiring the investment size for research and development and a manufacturing/sales profit of a particular enterprise from financial affair database containing information on financial affairs of enterprises; research and development investment size ratio calculation means for dividing the acquired research and development investment by the manufacturing/sales profit so as to calculate the research and development investment ratio; and output means for outputting the calculated research and development investment ratio on display means or the like.