Twitter-Sentimental-Analysis

Project Description

IMDB provides a list of celebrities born on the current date. Below is the link: http://m.imdb.com/feature/bornondate

Get the list of these celebrities from this webpage using web scraping (the ones that are displayed i.e top 10). You have to extract the below information:

• Name of the celebrity
• Celebrity Image
• Profession
• Best Work

Once you have this list, run a sentiment analysis on twitter for each celebrity and finally the output should be in the below format

• Name of the celebrity:
• Celebrity Image:
• Profession:
• Best Work:
• Overall Sentiment on Twitter: Positive, Negative or Neutral

Tools Used/Requirements

1. Python >= 3.6.1 (64-bit)

2. Beautifulsoup4 - Python library for pulling data out of HTML and XML files.

3. Tweepy - OpenSource Twitter API for Python.

4. Selenium - The webdriver kit emulates a web-browser and executes JavaScripts to load the dynamic content.

5. Textblob - Python library using nltk to find polarity of text/tweet.

6. lxml - A fast html and xml parser for beautifulsoup4

7. Mozilla Firefox - Web Browser to perform web scraping.

8. Gecko Driver - Driver for Selenium to invoke Firefox.

9. API Keys for Twitter has to be put in /data/twitter_api_keys.json (Refer sample_twitter_api_keys.json for format.)

Running the application

1. Make sure you have all the requirements installed. See requirements.txt or run

   pip install -r requirements.txt --upgrade

2. Make sure you have the latest version of Mozilla Firefox installed and latest version of geckodriver in utils folder.

Run the application using:

python App.py

Author

Maneesh D - maneeshd77@gmail.com