Identifying the Influences Behind the LinkedIn Posts using Topic Modeling and Sentiment Analysis

R, Nagaraj and R, Rohith C and Teja, Sakalabathula and T, Deepika (2024) Identifying the Influences Behind the LinkedIn Posts using Topic Modeling and Sentiment Analysis. In: Proceedings of the 1st International Conference on Artificial Intelligence, Communication, IoT, Data Engineering and Security, IACIDS 2023, 23-25 November 2023, Lavasa, Pune, India.

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Abstract

The ubiquity of social networking has transformed daily life. People constantly share opinions, rate products, and conduct business on these platforms. Social media is vital in business, helping establish connections with prospects and clients. LinkedIn, specifically, excels in building trust throug

Item Type: Conference or Workshop Item (UNSPECIFIED)
Date Deposited: 04 Mar 2026 17:18
Last Modified: 17 Apr 2026 00:10
URI: http://eprints.eai.eu/id/eprint/47756

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