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Word2Vec +Kmeans + Hierarchical)\n* Text Similarities: Various Text Similarity Metrics\n* Text Summarizer 1: Text Summarizer based on word counts\n* Text Summarizer 2: Text Summarizer based on word counts and invesrse document frequency\n* Text Summarizer 3: Text Summarizer based on Text Rank Algorithm\n\nText Classification Models:\n\n* [Toxic-Comment-Classification](https://github.com/Ritvik19/Toxic-Comment-Classification): A multi-headed model that’s capable of detecting different types of of toxicity like threats, obscenity, insults, and identity-based hate\n* [Spam-Filter](https://github.com/Ritvik19/Spam-Filter): Model to classify texts as spam or ham\n* [Clickbait-Detection](https://github.com/Ritvik19/Clickbait-Detection): Model that detects text based Clickbaits \n* [News-Classifier](https://github.com/Ritvik19/News-Classifier): Various models to classify News Articles\n* [Quora-Question-Pairs](https://github.com/Ritvik19/Quora-Question-Pairs): Model that can indentify similar texts\n* [StackOverflow-Tag-Predictor](https://github.com/Ritvik19/StackOverflow-Tag-Predictor):A model to suggest the tags based on the content that was there in the question posted on Stackoverflow.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fritvik19%2Ftext-insights","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fritvik19%2Ftext-insights","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fritvik19%2Ftext-insights/lists"}