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RealTime-TwitterDataAnalysis

Collect and process real time twitter data to analyse popularity of tweets with specific keywords or hashtags , visualize important metrics, generate twitter networks and map tweets and trends geographically.

Analysing Twitter Data Can be useful in a wide variety of fields like:

• In the industry it can be used in Marketing and Product Analysis to improve upon an organization's business decisions.
• It can be used to Measure public opinions which can serve to gauge mood of people in important topics of interest such as political or social events.
• Further , it can be used for Clustering Behavioral Groups by identifying conversation spheres , patterns in behaviour of diferent subsections of the society and also the bridges or major influencers.

• Show Real Time Plot Of Tweet Volumes and Proportion Of tweets mentioning either keyword
  
  

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• Graph tweet sentiment by performing NLP
  
  

• Node Networks for Retweets And Replied Tweets | Force Directed Circular Layout Showing more Retweeted user Larger in Size

            

Functionality

• Stream tweets containing specific keywords in real time
• Show volume metrics for selected tweets in real time
• Filter tweets by any time window
• Plot the prevalance of tweets regarding a particular topic of interest.
• Perform Sentiment analysis of tweets based on keyword and chart them in real time
• Twitter Networks Graphing follow , favorited , retweet and reply networks.
• Analyse Twitter Networks and discover important nodes that are influencers or conversation bridges.
• Display Tweets Geographically on a Map.

Domains

         

Tech Stack

           

Setup Locally

• Clone the repository on your local machine.

  git clone https://github.com/kaustav202/RealTime-TwitterDataAnalysis.git

• Go into the cloned directory
• Run pip install -r requirements.txt to install all the dependencies.
• Create a developer account on twitter: https://developer.twitter.com/en
• Get your Twitter API credentials and replace the placeholders in twitter_config.py.
  • Go to the Twitter Developer Portal Projects & Apps page at https://developer.twitter.com/en/portal/projects-and-apps
  • Find the API/consumer key and secret under the Consumer Keys section of the Keys and Tokens tab of your app
  • Your account's access token and secret for your app can be found under the Authentication Tokens section of the Keys and Tokens tab of your app
• From inside the app/ folder, you can run python stream.py which adds(streams) the tweets into tweets.json
• Run python main.py which is the application entry point preferably after some time so that you have more tweets to perform the analysis.
• You can also perform Sentiment Analysis by running python sentiment_analysis.py and draw tweet network graphs by running python tweet_network.py
• Remember that the streaming (writing) of tweets is a completely independent step that needs to be performed initially by running stream.py

Data Format

The data recieved from twitter stream api is in a json format

Important Module and Object Structures

The Overall Structure Of the Project

How to get started with contributions

• Read The Contributing Guidelines and Code Of Conduct.

Steps To Contribute

• Fork this Repository.

• Clone the Repository: git clone "url of this repo"

• Check existing issues or raise a new issue of your own and ask it to be assigned to you.

• Wait for the issue to be assigned to you.

• Create a branch: git checkout -b <your-new-branch-name>

• Put your code :-

  • Make all necessary changes or modifications to the code in your local cloned branch.
  • Neccessary information like functionalities, screenshots, working video(if required) should be kept handy (you will need to present it when submitting the PR)

• Push changes to gitHub ( on your forked repo ) : git push origin <add-your-branch-name>

• Create a new pull request to the original repo ( main branch of this repo )

• Submit your changes for review.

• And Boom! You're done 🥳

• The maintainers will review and merge your changes into the main branch of this project. You will be automatically notified via E-mail once the changes have been merged.

Note : If you want your changes to count towards hacktoberfest ensure that the issue you are working on has #hacktoberfest label

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Contributors 📑

kaustav202

SegFal

Rishav Mitra

jatin00000

Manan Garg

Gokulakrishnan Shankar

Project Maintainers ⚡

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Happy Contributing! 🧡

Star Mark this repository and keep contributing as you learn!!