Semantic-Feature-generation-for-words. Building a Natural language Responsive system by Preprocessing(removing stop words , numbers, urls and stemmming ) raw text, generating features for words, Extracting Entities(Named Entity Recognition) based on specific application, Feeding the preprocessed and required text to Deep Learning Neural Network which can generate a responsive sentence for the given sentence.

Problem

The full read on this project is a sign-in away — what it solves, who it serves, and where it sits in the market.

Audience

The full read on this project is a sign-in away — what it solves, who it serves, and where it sits in the market.

Market

The full read on this project is a sign-in away — what it solves, who it serves, and where it sits in the market.

Pricing

The full read on this project is a sign-in away — what it solves, who it serves, and where it sits in the market.