Sentiment Analysis Website

About the Project

The sentiment analysis website is a web application built using Python, NLTK (Natural Language Toolkit), and Streamlit. It allows users to analyze the sentiment of a given text.

During the project, I learned how to use NLTK for natural language processing tasks, specifically sentiment analysis. NLTK provides various tools and resources for text analysis, including pre-trained sentiment analysis models.

To build the website, I used Streamlit, a Python library for creating interactive web applications. Streamlit made it easy to develop the user interface and integrate it with the sentiment analysis functionality.

Challenges during the project included preprocessing the text data to improve the accuracy of sentiment analysis, handling different types of text inputs, and ensuring a smooth user experience.

In summary, the sentiment analysis website was built using Python, NLTK, and Streamlit. It allowed users to analyze the sentiment of text inputs and provided valuable insights based on the sentiment analysis results.