Abstract: A time-series document summarization (201) device outputs a summary sentence of a document-of-interest collection that is a document collection to be an object.

Abstract: A document analysis device (1) comprises a common assessment information selection unit (90) and an event impact analysis unit (100). The common assessment information selection unit (90) 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.

Abstract: 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.

Abstract: An information analysis apparatus 1 that executes information analysis on a document set including documents to which time information is attached, the apparatus includes: a corresponding section selection unit 30 that mutually compares a plurality of time-series data generated and selects two or more sections that change corresponding to each of two or more sections of another time-series data from each time-series data; a feature extraction unit 40 that extracts features from the documents belonging to the selected two or more sections; a comparison unit 50 that acquires, from extracted features, an inter-feature distance of the selected one section and another section, and mutually compares the inter-feature distances of each of the time-series data; and a correlation degree calculation unit 70 that calculates a degree of correlation between the document sets based on the comparison result.