Sentiment Analysis of Social Media

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1. Verfasser: Shubham Kansadwala, Raj Solanki, Nairutya Taklikar, Romish Yadav, Prof. Swati Uparkar
Format: Recurso digital
Veröffentlicht: Zenodo 2025
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author Shubham Kansadwala, Raj Solanki, Nairutya Taklikar, Romish Yadav, Prof. Swati Uparkar
author_facet Shubham Kansadwala, Raj Solanki, Nairutya Taklikar, Romish Yadav, Prof. Swati Uparkar
contents <p>This paper presents an end-to-end sentiment analysis system designed to monitor user-generated content on<br>social media platforms like Twitter (X) and Instagram. Leveraging transformer-based models and a modular<br>Python framework, the system performs real-time sentiment classification, hashtag trend detection, and<br>engagement 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. </p>
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publishDate 2025
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spellingShingle Sentiment Analysis of Social Media
Shubham Kansadwala, Raj Solanki, Nairutya Taklikar, Romish Yadav, Prof. Swati Uparkar
<p>This paper presents an end-to-end sentiment analysis system designed to monitor user-generated content on<br>social media platforms like Twitter (X) and Instagram. Leveraging transformer-based models and a modular<br>Python framework, the system performs real-time sentiment classification, hashtag trend detection, and<br>engagement 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. </p>
title Sentiment Analysis of Social Media
url https://doi.org/10.5281/zenodo.15505537