Natural Language Processing (NLP) for Sentiment Analysis: Applying NLP techniques to analyze sentiment in social media and customer feedback

Abstract

This research paper delves into the application of Natural Language Processing (NLP) techniques for sentiment analysis, focusing on social media and customer feedback. It explores various NLP methods and their effectiveness in interpreting sentiments from textual data, highlighting the significance of sentiment analysis in understanding public opinion and enhancing customer experience. Through a comprehensive review of literature, detailed methodology, and rigorous analysis, this study aims to provide insightful contributions to the field of NLP and sentiment analysis.

Keywords

• Natural Language Processing
• Sentiment Analysis
• Social Media
• Customer Feedback
• Machine Learning
• Deep Learning
• Data Preprocessing