Skip to content

jackylauu/Tweet-Sentimental-Analysis-TSLA

 
 

Repository files navigation

Stock Sentimental Analysis

Written by Binay Gurung,Umakant Datt Bhatt,Kashish Jagtiani,Aayush Shrestha

Our main idea of our project is to utilize twitter API to make a qualitative sentimental analysis on the tweets of a certain company and monitor the performance of its stocks based on the number of positive sentiment tweets, the number of negative sentiment tweets and the net sentiment, to show a relation between tweets and a company's stocks. We will be using these data from the API to conduct a qualitative analysis and present the analyzed data on a frontend application.

The following represents the AWS services of our application.

To access our application,by visiting https://main.do9ra6o2orift.amplifyapp.com/ while our pocket money last. 😉

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • JavaScript 50.3%
  • Python 39.0%
  • HTML 7.1%
  • CSS 3.6%