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
Home Page: https://www.nuget.org/packages/SentimentAnalyzer/
License: MIT License
This is a library which can be used to consume a model which I created using ML.NET.
For further information, you can always have a look at my blog
using SentimentAnalyzer;
var sentiment = Sentiments.Predict("some string");Predict returns a SentimentPrediction which contains:
Prediction (bool) - true is Positive sentiment, false is Negative sentiment.Score (float) - A score representing the model's accuracy
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.
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