Project Text Classification

The video tutorial covers sentiment analysis using natural language processing on IMDb movie reviews. It explains the preprocessing steps required, such as converting text to lowercase, removing numbers, punctuation, and stopwords. The tutorial demonstrates how to use libraries like NLTK and RE for preprocessing and implements a function to automate these steps. It then introduces the Count Vectorizer method to convert text data into a numerical format suitable for machine learning algorithms. The tutorial concludes with training a logistic regression model to classify movie reviews as positive or negative and testing the model with new data.

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