“Don’t trade on your emotions” is one of the first rules a trader learns.
This project is designed to build a sentiment analysis tool that is specifically attuned to sentiments expressed in social media. It is fully open-sourced under the Mozilla Public License 2.0
Sentiment Analysis is the process of ‘computationally’ determining whether a piece of writing is positive, negative or neutral. It’s also known as opinion mining, deriving the opinion or attitude of a speaker/author.
There are some general library requirements for the project and some which are specific to individual methods. The general requirements are as follows.
tweepynumpyscikit-learnscipy
More Details regarding setup and installation here
Kshitij - Initial work - iKshitiz
See also the list of contributors who participated or contributed in this project.
Please read CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests to us.
This project is licensed under the Mozilla Public License 2.0 - see the LICENSE.md file for details.