Customer Sentiment Analysis Using Social Media

This project focuses on analyzing customer sentiment sourced from social media data by applying various machine learning techniques. The objective of this project is to extract meaningful insights from customer feedback that reflect customer satisfaction, brand perception, and consumer preferences. Utilizing Natural Language Processing (NLP), it processes user-generated content to classify sentiment into positive, negative, or neutral categories. These insights can help businesses make data-driven decisions, enhance customer engagement strategies, and optimize product or service offerings in a competitive digital marketplace.

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