Description
Social media microblogs have become a powerful platform for users to share their thoughts and ideas with the public on a wide range of topics. Platforms like Twitter have become a hub of knowledge and information, with many manufacturers using them to gather feedback on new products. Researchers are working on technologies to analyze the opinions of active microblog users.
Sentiment analysis of Twitter data is a valuable tool for businesses and organizations to understand public opinion. Some government agencies use this analysis to gauge public response to social issues or new laws. Politicians also rely on sentiment analysis of their Twitter data to assess their social influence. Survey companies analyze tweets about celebrities, politicians, and other figures to understand public sentiment on various issues.
The project “Sentiment Analysis of Twitter Data” includes static pages like Home, About Us, and Contact Us, along with technology used such as HTML, CSS, JavaScript, Python, MySQL, Django, and Python libraries like numpy and nltk. The project can be configured on Windows, Linux, and Mac operating systems.
