Wimbledon Sentiment Analysis
This app has been developed to analyize the standings of a tennis player among his/her fans. We use the twitter API to analyize the data and show the results in the form of Pie charts, Bar and Live(real time) graphs. Please keep in mind that this software may take time at certain points, for example, if it does not fetch a live tweet, So kindly be patient while.
Getting Started
These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.
Prerequisites
What things you need to install the software and how to install them
Give examples Installing
A step by step series of examples that tell you have to get a development env running
- Run the MainGui.py
- You can =>choose a tennis player from preexisting data of wimbledon 2015: click the name of the player from the drop-down list on the right hand side of the screen. => You can also fetch Live tweets of Roger Federer, Novak Djokovic, Serena Williams, and Garbine Muguruza, from within thier Specific pages, by clicking the "Live Graph" radio Button => You can also analyze any other player's live tweet, enter a player's name on the box available on the top left of screen. ')
Running the tests
Explain how to run the automated tests for this system
Break down into end to end tests
Explain what these tests test and why
Give an example And coding style tests
Explain what these tests test and why
Give an example Deployment
Add additional notes about how to deploy this on a live system
Built With
Dropwizard - The web framework used Maven - Dependency Management ROME - Used to generate RSS Feeds Contributing
Please read CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests to us.
Versioning
We use SemVer for versioning. For the versions available, see the tags on this repository.
Authors
Digvijay Naruka - Initial work - See also the list of contributors who participated in this project.
License
This project is licensed under the MIT License - see the LICENSE.md file for details
Acknowledgments
Hat tip to anyone who's code was used Inspiration etc