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Twitter-Sentimental-Analysis

WARNING:- tHiS pRoJeCT Is StILl iN pHaSE-1-BUt ItS StILl COOl

ABOUT

**GUI setimental analysis using python.We have used multiple algorithms and based on those algoritms we have shown independent outputs of every algorithm.The user will input a twitter username and select number of tweets he wants to analyse.Then he will run the program and the output will be shown in seperate window for every tweet!

Instruction to use

  1. Open test.py
  2. Run
  3. When the UI will show up,enter the username of the profile wihtout using @
  4. Use the slider to set the number of tweets you wanted to fetch
  5. The result will show up.

Future Improvements

  • We are gonna add a module which will analyze the image which is attached to a tweet.(If available by tweepy or other api)
  • A hashtag analysis section which can analysis N number of tweets and based on the tweets will give sentiments of people in %.Ex:-
    1. Angry n% Sad n% Happy n%
    2. Positive n% Negative n%

About

We have used Multinomial Naive Bayes,Random Trees Embedding,Random Forest Regressor,Random Forest Classifier,Multinomial Logisitc Regression,Linear Support Vector Classifier,Linear Regression,Linear Classifier,Extra Tree Regressor,Extra Tree Classifier,Decision Tree Classifier,Binary Logistic Regression and calculated accuracy score,confusion ma…

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  • Python 100.0%