What type of study is this?

This is a Quantitative Study study.

October 12, 2025

Sentiment Analysis of Product Reviews Using Hybrid CNN-LSTM Models

Puntos clave

Sentiment trends predict market fluctuations, providing insights for investors and policymakers.
A sentiment classifier categorizes social media posts as positive, negative, or neutral.
Deep learning methods, including CNN and LSTM, enhance the accuracy of sentiment analysis.
NLP techniques are crucial for analyzing sentiments across various social media platforms.

Resumen

Abstract – Social media platforms (Twitter, Reddit, Facebook) are key sources of public opinion influencing market trends. This study analyzes sentiments using NLP and deep learning to correlate public mood with market performance. Sentiment classifier categorizes posts as positive, negative, or neutral. Findings show that social sentiment trends can predict market fluctuations and offer valuable insights for investors and policymakers. Key Words: Sentiment analysis, social media, market trends, deep learning, NLP, data mining

Preguntar a la IA

Me gusta

Guardar