Inspiration A successful business knows what its customers need and feel about their products. Therefore we developed a tool for generating Emotion Analysis about a business.
How Using Long Short Term Memory (LSTM) we are training a model to classify emotional state of a person writing that review. Using those classifications we are providing analysis report about emotion distribution of that business
How we built it *Model: *We used tensorflow library to train LSTM to classify emotional state. *Data Acquisition: *We used SemEval 2007 Task 14 for training data. *Web Framework: *Using Flask we created web application's architecture *Testing Data: *User review about a business were collected by scraping Yelp website. *Final Product: *Reviews were classified using trained LSTM model and report was generated using Matplotlib.