Sentiment Analysis of Twitter Data- Python Machine Learning AI Project

₹10,000.00

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.

Technology	Advanced Machine Learning Projects,Big-data Projects
Type	Major Project
Database	Mysql Database
Cost	₹ 10000
Documentation	Documentation Charges will be extra
Notes	These projects are not suitable of business usecase
Supported OS	Widnows
Helpline Numbers	+91-8470010001 +91-8470010001

Categories: Advanced Machine Learning Projects, Big-data Projects, Data Analytics Projects, Machine Learning Projects, Project Source Code, Python Projects Tags: AI (Artificial Intelligence) Machine Learning Project, Big Data Analytics Projects, Cloud Based AWS Projects Topics, Data Analytics Project for Beginners, Data Analytics Projects, Data Analytics Projects for final year students, Machine Learning Project, ML Project, Python Data Analysis projects, Sentiment analysis Machine Learning Projects, Trending Project

Description

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.

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