Country Tweet Analysis

Country Tweet Analysis is a project done using twitter API and tweepy to analyze country-wise trending topics .

• Search your favourite country .
• See the latest trends .
• Analyze how people react .

Tech

Country Tweet Analysis uses the following API , modules and Python to run .

• Twitter API - Create Developer account in Twitter .
• Visual Studio code - code editor (optional) .
• Python - Python 2.7 or 3.6

Installation

Install the software and required modules as given below .

Run the following commmand in command prompt .

pip install tweepy
pip install textblob
pip install json

To clean tweets, use preprocessor .

pip install preprocessor

To plot the sentiments of tweets .

pip install matplotlib

Explanation

• Create an app using twitter developer account .
• Copy all the necessary keys and tokens .
• Open Visual Studio code editor .
• Connect to the twitter app using your API .

•     consumerKey = 'Enter your consumer key'
      consumerSecret = 'Enter your Consumer secret key'
      accessToken = 'Enter your access token'
      accessTokenSecret = 'Enter your access token secret key'
  

• Enter your Favourite Country .
• Search from the available trending topics .

Library used

• Tweepy - An easy-to-use Python library for accessing the Twitter API.
• TextBlob - TextBlob is a Python (2 and 3) library for processing textual data.
• matplotlib - Matplotlib is a plotting library for the Python programming language and its numerical mathematics extension NumPy.
• JSON - JSON is a lightweight data interchange format inspired by JavaScript object literal syntax .

Project Contributors

• KamalAres
• Jayaram18