An Approach for Predicting Election Results with Trending Twitter Hashtag Information Using Graph Techniques and Sentiment Analysis
| dc.contributor.author | Patra, C. | |
| dc.contributor.author | Shetty D, D. | |
| dc.contributor.author | Chakraborty, S. | |
| dc.date.accessioned | 2026-02-06T06:34:57Z | |
| dc.date.issued | 2023 | |
| dc.description.abstract | India is one of the largest democracies in the world where the Lok Sabha and the Rajya Sabha elections are held every five years. Nowadays, social media acts as an important and inexpensive platform for propagating messages of the political parties. In the present study, a methodology is proposed by combining sentiment analysis and graph techniques to look into the trending hashtag networks propagated by the political parties using Twitter. The demonstration of the proposed methodology is done on the trending hashtag’s information collected from Twitter on the Uttar Pradesh (U.P) state elections, 2022. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. | |
| dc.identifier.citation | Smart Innovation, Systems and Technologies, 2023, Vol.326 SIST, , p. 323-333 | |
| dc.identifier.issn | 21903018 | |
| dc.identifier.uri | https://doi.org/10.1007/978-981-19-7513-4_29 | |
| dc.identifier.uri | https://idr.nitk.ac.in/handle/123456789/29550 | |
| dc.publisher | Springer Science and Business Media Deutschland GmbH | |
| dc.title | An Approach for Predicting Election Results with Trending Twitter Hashtag Information Using Graph Techniques and Sentiment Analysis |