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To run docker image -- docker pull haresrv/blog-with-sentiment-detection:v1

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haresrv/Blog_with_Sentiment_Detection

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Live Demo -> https://senti-talk.herokuapp.com/

Download the model files from here --> https://www.kaggle.com/himanshu2606/comparison-between-different-models

But here is link to the colab notebook you can try --> https://colab.research.google.com/drive/1FMADqssRV18D4uVLSwkdPXAeV4AHmq6h

Deployment:

Problem:

To classify comments posted on online blogs and other platforms such as product reviews as being toxic or not. Main goal is to develop a model that will help reduce the need for manually micromanaging online feeds and automate the entire process with considerable accuracy.

Dataset:

Jigsaw Multilingual Toxic Comment Classification Dataset Built by taking content from various websites including Wikipedia Talk Pages and Civil Comments Dataset size : 2.12 M training examples with toxic/non-toxic labels

Architecture:

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To run docker image -- docker pull haresrv/blog-with-sentiment-detection:v1

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