TOPIC-INFLUENCED DOCUMENT RELATIONSHIP GRAPHS

Patent №

US 9,715,495

Granted

2017-07-25

Filed 2016

Owner

Lab

AI components

5

ml · nlp · kr · evo · hardware

Assignment

None on record

Dataset

AIPD

2023_r1 edition

Application

15379724

Provided is a process of enhancing or suppressing measures of relationships between documents based on the relationships arising from text pertaining to selected topics, the process including: obtaining a corpus of documents; obtaining a set of topics by self-extracting topics according to the tokens present in text of the documents or manual provision; receiving a selected topic among the set of topics, the selection indicating that relationships between the documents are to be enhanced or suppressed in virtue of the relationships arising from text relating to the selected topic; forming a relationship graph of the documents, wherein: the relationships between pairs of the documents are determined based on co-occurrence of n-grams in the pairs of the documents, and wherein the relationships are enhanced or suppressed in response to co-occurring n-grams being in the respective set of n-grams of the selected topic.

AI classification

Natural language1.00
Machine learning0.99
Knowledge representation0.95
AI hardware0.93
Evolutionary computation0.72
Planning0.19
Vision0.06
Speech0.00
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