TEJAS Journal of Technologies and Humanitarian Science

Consumer Sentiment Analysis Using Deep Learning

Neha
Dept. of CSE, Goel Institute of technology & Management, Lucknow, India

Author

Yogendra Pratap Singh
Dept. of CSE, Goel Institute of technology & Management, Lucknow, India

Author

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Abstract:

This research focuses on sentiment analysis of Twitter data using various AI algorithms. The study explores the potential of decision trees for sentiment classification and examines the importance of emotion analysis in understanding public opinions. Challenges in sentiment analysis are discussed, including handling vague statements, expanding sentiment categories, and integrating image processing techniques. Future directions include developing web applications for user-friendly sentiment analysis and incorporating multimodal analysis to capture emotions from multiple sources. The findings underscore the significance of sentiment analysis in diverse fields like marketing, customer feedback analysis, and social research.

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