Stock Sentiment Analyzer using AI and NLP for Financial Decision Support
Authors:
Aakash Bhardwaj (B.M. Institute of Engineering and Technology)
Aman Vishwakarma (B. M. Institute of Engineering and Technology)
Paramjeet Ruhal (B. M. Institute of Engineering and Technology)
Babita Antil (B. M. Institute of Engineering and Technology)
Abstract

Investor sentiment has emerged as a critical factor in stock market behavior, influencing price fluctuations beyond traditional quantitative indicators. In this research, we propose a lightweight and accessible Stock Sentiment Analyzer that utilizes Artificial Intelligence (AI) and Natural Language Processing (NLP) to classify financial news sentiment in real time. The system automatically retrieves recent news articles for a selected stock ticker, applies NLP-based sentiment analysis to label them.

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Published in: NCAIDT 2025 Proceedings
DOI: 10.63169/NCAIDT2025.p8
Paper ID: NCAIDT2025-0429