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kapilggg10/Plagiarism-checker-nltk
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File structure: "files" : directory contains training data. i.e Files containing text to train a model "plag_training.py" : is the file to create a model and return 'tf idf' , 'tfs' and 'files'. Here 'tf idf' is the vectorized and tokenized model of the training data 'tfs' is the matrix model of the data and 'files' is the list of all training files. "plagiarism.py" : is the file to check plagiarism between input file and trained data.
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Plagiarism checker using nltk and cosine similarity
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