Performance evaluation of topic modeling algorithms for text classification

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dc.contributor.authorAnantharaman, A.
dc.contributor.authorJadiya, A.
dc.contributor.authorSai Siri Chandana, C.T.S.
dc.contributor.authorAdikar Bharath, N.V.S.
dc.contributor.authorMohan, B.R.
dc.date.accessioned2026-02-06T06:37:27Z
dc.date.issued2019
dc.description.abstractText Classification is a paramount task in natural language processing. Topic modeling algorithms have been used with a lot of success for text classification. We evaluate different topic modeling algorithms for two tasks: (1) Short text or sentence classification and (2) Large text or document classification. We give an extensive performance evaluation with the help of a wide range of performance metrics for three topic modeling algorithms on both of these tasks using three publicly available datasets. ©2019 IEEE.
dc.identifier.citationProceedings of the International Conference on Trends in Electronics and Informatics, ICOEI 2019, 2019, Vol.2019-April, , p. 704-708
dc.identifier.urihttps://doi.org/10.1109/icoei.2019.8862599
dc.identifier.urihttps://idr.nitk.ac.in/handle/123456789/31068
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.titlePerformance evaluation of topic modeling algorithms for text classification

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