A sentiment analysis tool that uses natural language processing (NLP) to analyze and classify the sentiment of text data. This tool is designed to help businesses understand customer opinions and feedback by categorizing text as positive, negative, or neutral. The tool is built using Python and leverages NLTK for text processing and TensorFlow and Keras for the sentiment analysis models. It can process large volumes of text data from various sources, including social media, customer reviews, and surveys. The sentiment analysis tool includes a user-friendly interface for uploading and analyzing text data. It provides detailed reports and visualizations of the sentiment analysis results, helping businesses make data-driven decisions. The tool can also be integrated with other applications through APIs.
This project involves the development of a sentiment analysis tool that uses NLP techniques to analyze and classify the sentiment of text data. The tool can be used for various applications, including social media monitoring and customer feedback analysis.