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In the present-day technology huge amount of data is being generated every day. So, it’s turning out to be a challenging task to handle text-based data. In the world of text-based sentences it is not that simple to differentiate between fact and opinions. So, This project is to build the model that classifies/identifies facts from/and opinions in the given text by using various machine learning and deep learning techniques.

Python 22.15% Jupyter Notebook 77.01% HTML 0.84%
opinion deep-learning machine-learning dataset classification-algorithm opinion-fact-classification bag-of-words tf-idf k-nearest-neighbours naive-bayes-classifier

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