Sentiment Analysis of Twitter Data

Social media micro-blogs are evolving into the greatest medium for users to voice their thoughts and ideas to the public regarding a variety of goods, services, people, and other topics. These social media microblogs, such as Twitter, are now the main repository of knowledge and information. Many manufacturers now survey the public on microblogs regarding their impending new product in order to assess and gauge their response and understand the general sentiment of the public regarding such products. Researchers are currently concentrating on creating technologies that can recognize and ascertain the general opinions of individuals who are active on microblogs. This article focuses on "Twitter," one of the most well-known microblogging platforms on social networking. We've discussed several models for categorizing tweets.

Sentiment analysis of Twitter data is a tool used by certain businesses and organizations to gauge public opinion and response to their offerings. Even then, only a small number of government organizations are using sentiment analysis of twitter data to examine how the public is responding to certain social concerns or recently introduced laws or regulations. In order to receive an election ticket these days, politicians must also have a strong social indexing, which may be examined using the political leader's Twitter data sentimental analysis. Tweets about celebrities, political figures, businessmen, etc. are analyzed based on their views, comments, and likes. Sentiment analysis of various sensational problems on twitter data was sometimes done by a large number of survey businesses in order to determine the influence of those issues on the public.

Static Pages and other sections :

These static pages will be available in project Sentiment Analysis of Twitter Data

• Home Page with good UI
• Home Page will contain an animated slider for images banner
• About us page will be available which will describe about the project
• Contact us page will be available in the project

Technology Used in the project Sentiment Analysis of Twitter Data

We have developed this project using the below technology

• HTML : Page layout has been designed in HTML
• CSS : CSS has been used for all the desigining part
• JavaScript : All the validation task and animations has been developed by JavaScript
• Python : All the business logic has been implemented in Python
• MySQL : MySQL database has been used as database for the project
• Django : Project has been developed over the Django Framework
• Python Library : We have used numpy, nltk, pyparsing, PySocks python library

Supported Operating System

We can configure this project on following operating system.

• Windows : This project can easily be configured on windows operating system. For running this project on Windows system, you will have to install Python 3, PIP, Django.
• Linux : We can run this project also on all versions of Linux operating system
• Mac : We can also easily configured this project on Mac operating system.