Topic Modelling | Zendy

Shanthala Nagaraja | Zendy

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Topic Modelling

Author(s) -

Shanthala Nagaraja

Publication year - 2019

Publication title -

international journal of innovative technology and exploring engineering

Language(s) - English

Resource type - Journals

ISSN - 2278-3075

DOI - 10.35940/ijitee.b1124.1292s19

Subject(s) - computer science , information retrieval , topic model , search engine , probabilistic logic , data science , world wide web , artificial intelligence

In the history of information and technology the knowledge which was generated is stored in the form of digital technology. In present day the search engines will search based on terms and extract the list of similar documents from many topics. In this paper, the proposed Topic Modelling techniques will search based on the group of words from each document. The aim behind proposed topic modelling techniques is to comprise the topics from each of the document. The hidden topics from the list of collected text documents can be extracted using proposed probabilistic topic modelling.

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