A Novel Hysynset-Based Topic Modeling Approach for Marathi Language
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-3575-6_34
Reference20 articles.
1. Rakholia, R.M., Saini J.R.: Information retrieval for Gujarati language using cosine similarity based vector space model. In: Proceedings of the 5th International Conference on Frontiers in Intelligent Computing: Theory and Applications. Springer, Singapore (2017)
2. Bafna, P.B., Saini, J.R.: Scaled document clustering and word cloud based summarization on hindi corpus. In: 4th International Conference on Advanced Computing and Intelligent Engineering (2019)
3. Bafna, P.B., Saini J.R.: BaSa: a context based technique to identify common tokens for Hindi verses and proses. In: IEEE International Conference for Emerging Technology, Belagavi, India IEEE-INCET (2020 in press)
4. Bafna, P.B., Saini, J.R.: Marathi document: similarity measurement using semantics-based dimension reduction technique (2020)
5. Bafna, P.B., Saini, J.R.: Measuring the similarity between the Sanskrit documents using the context of the corpus technique. Int. J. Adv. Comput. Sci. Appl. 11(5) (2020)
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