Twitter Sentiment Analysis using Python

Sentiment Analysis on Twitter keywords using Python - using Tweepy and TextBlob libraries and NLTK corpora. Data Visualization was done using Matplotlib.

• Tweepy is the python client for the official Twitter API.
• TextBlob is the python library for processing textual data.

Installation

• Ensure you have python installed
• Replace the following lines in TwitterClient.py with values from your Twitter Application from the developer account:
  consumer_key = 'XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX' consumer_secret = 'XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX' access_token = 'XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX' access_token_secret = 'XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX'

1. Clone the repository
   git clone git@github.com:Gichure/twitter-sentiment-analysis.git

2. Go to the twitter-sentiment-analysis folder cd twitter-sentiment-analysis folder ``

3. Go to the executable file folder
   cd src/com/pgichure/sentiment-analysis/

4. Execute the script "TwitterClient.py"

	python TwitterClient.py

You will be prompted to enter the keyword. Provide keyword and hit enter

Contact

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Author

Paul Gichure