Please use this identifier to cite or link to this item: https://idr.l1.nitk.ac.in/jspui/handle/123456789/8753
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dc.contributor.authorAnantharaman, A.
dc.contributor.authorJadiya, A.
dc.contributor.authorSiri, C.T.S.
dc.contributor.authorAdikar, Bharath, N.V.S.
dc.contributor.authorMohan, B.
dc.date.accessioned2020-03-30T10:22:40Z-
dc.date.available2020-03-30T10:22:40Z-
dc.date.issued2019
dc.identifier.citationProceedings of the International Conference on Trends in Electronics and Informatics, ICOEI 2019, 2019, Vol.2019-April, , pp.704-708en_US
dc.identifier.urihttp://idr.nitk.ac.in/jspui/handle/123456789/8753-
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.en_US
dc.titlePerformance evaluation of topic modeling algorithms for text classificationen_US
dc.typeBook chapteren_US
Appears in Collections:2. Conference Papers

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