About the project:
This startup based on an award-winning idea is an analytics platform aimed at helping movie studios get valuable data about their upcoming releases. The users of the App are able to swipe through movie trailers Tinder-style, like and get information on premieres, etc. All interaction is crunched to get the overall sentiment per geographical location. The platform consists of a user-facing App, a studio facing a Web platform and a set of AI agents.
The AI agents we built in Python, are Web crawlers with internal analytics. They scan Twitter for tweets and prominent movie blogs for any publications mentioning the upcoming movie release of interest. Once identified, the post goes through three different Machine learning algorithms for sentiment analysis: Naive Bayes, NLTK and Bag of Words.
Development time :3 months