/TweetFlix

A RESTful web application to tackle cold-start problem in recommendation system

Primary LanguageCSS

TweetFlix

A RESTful web application to tackle cold-start problem in recommendation system. The methods uses the tweets of users friends list and performs fltering on some popular movie hash tags. These tweets are further classifed as a good or bad tweet by performing sentiment analysis and are given a score. This score helps in determining the positivity of the given recommendation and proves to be useful in tackling the cold start problem effciently.

GitHub Logo

GitHub Logo

How to use the Web Application

1. How to clone the project locally and Run

  1. Clone the repository using command git clone https://github.com/adi6b/TweetFlix.git
  2. Run the project on your local machine using any IDE

Note: Before building the project install the SanfordNLP library from https://stanfordnlp.github.io/CoreNLP/download.html and add it to the lib folder