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To prove the results based on empirical analysis, the authors examine the Twitter messages posted during 14th Gujarat Legislative Assembly election, 2017. Implementing two unsupervised clustering methods of K-means and Latent Dirichlet Allocation, this research shows how the proposed model is able to examine and summarize observations based on underlying semantic structures of messages posted on Twitter. These two well-known unsupervised clustering methods provide a firm base for the proposed model to enable streamlining of decision-making processes objectively.<\/p>","DOI":"10.4018\/ijncr.2020040102","type":"journal-article","created":{"date-parts":[[2020,2,28]],"date-time":"2020-02-28T07:48:54Z","timestamp":1582876134000},"page":"14-35","source":"Crossref","is-referenced-by-count":8,"title":["Topic Modeling as a Tool to Gauge Political Sentiments from Twitter Feeds"],"prefix":"10.4018","volume":"9","author":[{"given":"Debabrata","family":"Sarddar","sequence":"first","affiliation":[{"name":"University of Kalyani, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7942-5233","authenticated-orcid":true,"given":"Raktim Kumar","family":"Dey","sequence":"additional","affiliation":[{"name":"Simplex Infrastructures Limited, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0967-455X","authenticated-orcid":true,"given":"Rajesh","family":"Bose","sequence":"additional","affiliation":[{"name":"Simplex Infrastructures Limited, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5447-803X","authenticated-orcid":true,"given":"Sandip","family":"Roy","sequence":"additional","affiliation":[{"name":"Brainware University, India"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2432","reference":[{"key":"IJNCR.2020040102-0","unstructured":"Agarwal, A. 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