arihantjain8118 / senti

Twitter Sentiment Analysis

Search for tweets and perform basic sentiment analysis.

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Overview

This is a web-app made with django using tweepy and nltk to analyze tweets on searched topic.

Getting Started

Prerequisites

To run locally, it is assumed that you have python installed on your system.

Development Guide

1. Create a virtual environment. virtualenv venv
2. Activate venv. venv\scripts\activate.bat
3. Install the requirements. pip install -r requirements.txt
4. Get the SECRET_KEY, ACCESS_TOKEN, ACCESS_TOKEN_SECRET, CONSUMER_KEY, CONSUMER_SECRET from here here and set it manually in twitSent\settings.py and website\views.py.
5. Run the server. python manage.py runserver

Hosting the application on Heroku

• Read this to learn deployment of django applications on heroku.
• Save the SECRET_KEY, ACCESS_TOKEN, ACCESS_TOKEN_SECRET, CONSUMER_KEY, CONSUMER_SECRET as environment variables. Follow this official documentation for help.

Task List

• Provide option to export data in desired format
• Sharing option for individual tweets
• Filtering of tweets based on nature of it
• Make it a Single Page Application
• Implement Angular with Django