This repo contains the source code of SentimentAnalyzer. It's an on-device (offline) open-source library to find out what customers think of your brand or topic by analyzing raw text for clues about positive or negative sentiment. Powered by ML.NET
As a part of arafattehsin/CognitiveRocket#3 - an idea is floated around keeping a single library with multiple models under the hood. Each model will have a specific dataset(s) on which it is going to be trained for fine grained sentiment analysis.
User / developer should be able to call the function from by passing a flag (probably Enum?)
For example;
A user analyzing the sentiments for movie reviews will call the Movie Sentiment Analysis Model.
A user looking for the customer reviews sentiment analysis will call the Customers Feedback Analysis Model.