https://github.com/parthnagarkar875/twitter-profile-analyzer

Analysis of a Twitter profile for discerning their preferences.
https://github.com/parthnagarkar875/twitter-profile-analyzer

deep-learning machine-learning natural-language-processing python3 twitter twitter-sentiment-analysis

Last synced: 2 months ago
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Analysis of a Twitter profile for discerning their preferences.

• Host: GitHub
• URL: https://github.com/parthnagarkar875/twitter-profile-analyzer
• Owner: parthnagarkar875
• License: mit
• Created: 2020-05-19T12:04:51.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2022-12-08T10:02:37.000Z (about 2 years ago)
• Last Synced: 2023-10-20T22:16:20.339Z (over 1 year ago)
• Topics: deep-learning, machine-learning, natural-language-processing, python3, twitter, twitter-sentiment-analysis
• Language: Jupyter Notebook
• Homepage:
• Size: 862 KB
• Stars: 10
• Watchers: 1
• Forks: 4
• Open Issues: 8
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        


🇮🇳 🤖 Twitter Profile Analyzer :computer::mag_right: 






 
















Goals of this project:



 Practise data extraction from Twitter

 Generate online identity of a Twitter User





Features implemented:



 Twitter data extraction.

 Sentiment Analysis  of the tweets posted and liked by a user.

 Extraction of Named Entities from the tweets posted and liked by a user using Named Entity Recognition 

 Identifying the top 15 accounts the user interacts with





Tech Stack of this Project:



Language: Python3

Dependencies: Stanford NER Tagger

Libraries: Available in requirements.txt.







To run this Project:




Clone this repo and pip install the requirements 



git clone https://github.com/VirtualGoat/Twitter-Profile-Analyzer.git

cd Twitter-Profile-Analyzer

pip install -r requirements.txt

python main.ipynb


For illustrative purpose, I have scanned the profile and extracted insights from the user @GTThampi2.





Flow of project:





User specifies the username that is to be analyzed





The name of the specified user and their location(if mentioned on Twiiter) is displayed. 





A graph displaying the sentiments of tweets posted by the user in the specified time. Which include:  

   

   Polarity 0 = Neutral Sentiment

   

   Polarity 1 = Positive Sentiment    

   

   Polarity -1 = Negative Sentiment





Detection of nouns mentioned in the tweets posted by the user in the specified time.





Detection of named entities which consist of 

   Organization, Person and Location mentioned in the tweets posted by the user.





A graph displaying the sentiments of tweets liked by the user. Which include:  

   

   Polarity 0 = Neutral Sentiment

   

   Polarity 1 = Positive Sentiment    

   

   Polarity -1 = Negative Sentiment.





Detection of nouns mentioned in the tweets liked by the user since the user created their account.





Detection of named entities which consist 

   of Organization, Person and Location mentioned in the tweets liked by the user since the user created their account.







Printing top 15 usernames and locations of the users whose tweets were liked most frequently.





 

 


This project is a part of a bigger project and still has scope of development, so you can also contribute to this Project as follows:





Fork this Repository.

Clone your Fork on a different branch:



git clone -b <name-of-branch> https://github.com/VirtualGoat/Twitter-Profile-Analyzer.git





After adding any feature:



Goto your fork and create a pull request.

I will test your modifications and merge changes.

 

 

 





Developed with ❤️ by: 



  

  


  

 Parth Nagarkar