TOPIC IDENTIFICATION BASED ON FUNCTIONAL SUMMARIZATION

Topic identification based on functional summarization is disclosed. One example is a system including a plurality of summarization engines, each summarization engine to receive, via a processing system, a document to provide a summary of the document. At least one meta-algorithmic pattern is applie...

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Bibliographic Details
Main Author SIMSKE, Steven J
Format Patent
LanguageEnglish
French
German
Published 18.10.2017
Subjects
CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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Summary:Topic identification based on functional summarization is disclosed. One example is a system including a plurality of summarization engines, each summarization engine to receive, via a processing system, a document to provide a summary of the document. At least one meta-algorithmic pattern is applied to at least two summaries to provide a meta-summary of the document using the at least two summaries. A content processor identifies, from the meta-summaries, topics associated with the document, maps the identified topics to a collection of topic dimensions, and identifies a representative point based on the identified topics. An evaluator determines distance measures of the representative point from topic dimensions in the collection of topic dimensions, the distance measures indicative of proximity of respective topic dimensions to the representative point. A selector selects a topic dimension to be associated with the document, the selection based on optimizing the distance measures.
Bibliography:Application Number: EP20150890920