Neerajj9/Sentiment-Analysis-with-Word-Embeddings
A Sentiment Analysis model in keras to analyse toxic comments online . The Corpus is preprocessed using Glove Word Embeddings .
This project helps you automatically identify and categorize toxic language in online comments. It takes raw text comments, processes them, and then classifies them into categories like 'toxic,' 'obscene,' or 'insult.' Social media managers, community moderators, or platform administrators can use this to maintain healthier online spaces.
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Use this if you need to automatically detect and categorize various forms of toxicity in user-generated text content.
Not ideal if you need a solution for sentiment analysis beyond toxicity, or if your primary focus is on other forms of text classification like topic modeling.
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Jul 29, 2019
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