Please use this identifier to cite or link to this item:
https://idr.l4.nitk.ac.in/jspui/handle/123456789/8753
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Anantharaman, A. | |
dc.contributor.author | Jadiya, A. | |
dc.contributor.author | Siri, C.T.S. | |
dc.contributor.author | Adikar, Bharath, N.V.S. | |
dc.contributor.author | Mohan, B. | |
dc.date.accessioned | 2020-03-30T10:22:40Z | - |
dc.date.available | 2020-03-30T10:22:40Z | - |
dc.date.issued | 2019 | |
dc.identifier.citation | Proceedings of the International Conference on Trends in Electronics and Informatics, ICOEI 2019, 2019, Vol.2019-April, , pp.704-708 | en_US |
dc.identifier.uri | http://idr.nitk.ac.in/jspui/handle/123456789/8753 | - |
dc.description.abstract | Text 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.title | Performance evaluation of topic modeling algorithms for text classification | en_US |
dc.type | Book chapter | en_US |
Appears in Collections: | 2. Conference Papers |
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.