Abstract: A research viewpoint presentation system calculates, for a document group, a level of potential relevance between two words, using a co-occurrence rate determined based on a meaning of a word or a context in which the word appears, taking into consideration a potential relationship between the two words included in the document group; calculates, for the document group, a level of existing relevance between two words, based on a frequency of actual appearance of the two words; selects a pair of two words for pairs of two words extracted from the document group, based on an index determined by comparing the potential relevance level with the existing relevance level; extracts recommended research viewpoint information concerning the selected pair of two words from the document group; and outputs the extracted recommended research viewpoint information.

Abstract: Among pieces of attribute information contained in a document, user-designated attribute information and other attribute information that may give additional value to the user-designated attribute information are accurately and efficiently presented.

Abstract: A technology is disclosed that makes it possible even for an analyst, who has poor knowledge relating to field data, to select and use analysis data in analysis. A data catalog automatic generation system that generates a catalog tag to be used to select analysis data from collected field data is configured such that, based on a set classification rule input, a relationship between an objective variable as an analysis perspective relating to field data and an explanatory variable or a causal relationship between a plurality of the explanatory variables is extracted, and based on a result of the extraction, a catalog tag of the objective variable and a catalog tag of the explanatory function are specified and attached.

Abstract: A data extraction device includes: a label input part that receives, from a user, an input of the type of each component of at least one set of sentences and a designation of a topic portion in the component; a model creation part that creates a pre-trained model that has learned the type of each component and a feature of the topic portion in the component; a sentence-feature presuming part that inputs a specified set of sentences inputted by a user into the pre-trained model and a topic portion in each component; a word-vector calculation part that determines a relationship among each word in the specified set of sentences, the type of each presumed component, and the presumed topic portion to calculate a feature amount of each word. A relationship of each of the words based on the calculated feature amount is then extracted.

Abstract: An object of the present invention is to acquire exact related data in short time. The present invention relates to a data management system, the data management system is configured by a computer provided with an arithmetic unit that executes predetermined processing and a storage connected to the arithmetic unit, and the data management system is provided with a presentation unit that presents relationship between tags to a user and accepts selection of the relationship between tags and a determination unit that determines related data to be recommended on the basis of tags applied to data acquired in retrieval, referring to the selected relationship between tags.

Abstract: A model creation supporting system executes: learning processing to create an inference model by performing machine learning on pieces of training data so as to specify a feature of each piece of the data, the inference model being designed to infer a label to be set to a piece of input data based on a feature of the piece of input data; and evaluation processing to determine validity of inference of the label in accordance with the inference model by determining a similarity between a feature of a given piece of data specified by inputting the given piece of data to the created inference model and the feature of one of the pieces of training data specified by the machine learning, and to output information indicating a content of the determination.

Abstract: Among pieces of attribute information contained in a document, user-designated attribute information and other attribute information that may give additional value to the user-designated attribute information are accurately and efficiently presented.

Abstract: A technology is disclosed that makes it possible even for an analyst, who has poor knowledge relating to field data, to select and use analysis data in analysis. A data catalog automatic generation system that generates a catalog tag to be used to select analysis data from collected field data is configured such that, based on a set classification rule input, a relationship between an objective variable as an analysis perspective relating to field data and an explanatory variable or a causal relationship between a plurality of the explanatory variables is extracted, and based on a result of the extraction, a catalog tag of the objective variable and a catalog tag of the explanatory function are specified and attached.

Abstract: An object of the present invention is to acquire exact related data in short time. The present invention relates to a data management system, the data management system is configured by a computer provided with an arithmetic unit that executes predetermined processing and a storage connected to the arithmetic unit, and the data management system is provided with a presentation unit that presents relationship between tags to a user and accepts selection of the relationship between tags and a determination unit that determines related data to be recommended on the basis of tags applied to data acquired in retrieval, referring to the selected relationship between tags.