Sentiment Analysis of Social Media
Year: 2025
Type: article
Abstract: This paper presents an end-to-end sentiment analysis system designed to monitor user-generated content onsocial media platforms like Twitter (X) and Instagram. Leveraging transformer-based models and a modularPython framework, the system performs real-time sentiment classification, hashtag trend detection, andengagement analytics. The processed data is visualized via dynamic dashboards using Power BI. This multiplatform pipeline helps researchers and marketers understand public opinion shifts and optimize decisionmaking strategies based on user sentiment.
Author: Shubham Kansadwala, Raj Solanki, Nairutya Taklikar, Romish Yadav, Prof. Swati Uparkar
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6893268544
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