Information retrieval is a python application which uses term frequency (TF) and inverse document frequency (IDF) to calculate cosine similarity values of input document and training set of documents stored in MongoDB to classify a given text document into different categories by using K-Nearest Neighbor algorithm.
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Information retrieval is a python application which uses term frequency (TF) and inverse document frequency (IDF) to calculate cosine similarity values of input document and training set of documents stored in MongoDB to classify a given text document into different categories by using K-Nearest Neighbor algorithm.
sahilpwr/Document-Information-Retrieval-System
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Information retrieval is a python application which uses term frequency (TF) and inverse document frequency (IDF) to calculate cosine similarity values of input document and training set of documents stored in MongoDB to classify a given text document into different categories by using K-Nearest Neighbor algorithm.
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