myneuronews / twitter

Tweenalyzer - The Twitter Analyzer

Tweenalyzer helps you analyze your twitter fanbase by providing a visually pleasing data-centric summary on different aspects of your target audience.

• Twitter REST API was used to fetch the tweets based on the user provided query.
• A web interface using Python-Flask Framework was built to show graphical plots on a dashboard.
• Data analysis was performed using scikit-learn and pandas library.
• Google charts was used plotting the graphs on the web dashboard.

Project Tweenalyzer was completed as a part of the MSc in computing Science course MM802 (Multimedia Networking and Communication at University of Alberta).

Demo [http://tweenalyzer.herokuapp.com/]

Search Query was "Python"

Want to see more interesting tweets and sentiments ? try searching for "Trump" ;)

Area of Work

• Data Mining / Data Visualization

Technologies Used

1. Flask - backend
2. Keen.io - for dashboard structure
3. Tweepy - A python wrapper for the Twitter API
4. TextBlob - A wrapper around NLTK, used for sentiment analysis and tweet language translation.
5. Google Charts- for graphing
6. Google Maps - for reverse Geocoding
7. Pandas - for data manipulation and cleaning

Installation Instructions:

1. Obtain twitter API keys from https://apps.twitter.com/
2. Plugin your API keys inside configurations.py
3. cd inside the project folder and type the following in your terminal

python app.py

4. open your browser and type 127.0.0.1:5000
5. Wait for a while . This usually takes some time, since the twitter API has a rate-limitting to search for tweets.

** Note: ** The default tweet search query is "python" . Once the page loads, you have the option of searching tweets of your choice using the searchbar.

Dependencies

The dependencies are contained in the file requirements.txt

• appdirs==1.4.2
• click==6.7
• cycler==0.10.0
• Flask==0.12
• functools32==3.2.3.post2
• googlemaps==2.4.6
• gunicorn==19.6.0
• itsdangerous==0.24
• Jinja2==2.9.5
• MarkupSafe==0.23
• matplotlib==2.0.0
• nltk==3.2.2
• numpy==1.12.0
• oauthlib==2.0.1
• packaging==16.8
• pandas==0.19.2
• pyparsing==2.1.10
• python-dateutil==2.6.0
• pytz==2016.10
• requests==2.11.1
• requests-oauthlib==0.8.0
• six==1.10.0
• subprocess32==3.2.7
• textblob==0.12.0
• tweepy==3.5.0
• Werkzeug==0.11.15

Team members:

1. Shrobon Biswas
2. Damayanti Ghosh