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A python project for checking plagiarism of documents based on cosine similarity

Home Page: https://kalebujordan.dev/how-to-detect-plagiarism-in-text-using-python/

Python 100.00%
plagiarism-checker-python cosine-similarity python-cosine-similarity python-plagiarism-detector python-nlp python-nlp-projects machine-learning python-project python-programming tanzania

plagiarism-checker-python's Issues

Cannot handel big txt files

in decode
return codecs.charmap_decode(input,self.errors,decoding_table)[0]
UnicodeDecodeError: 'charmap' codec can't decode byte 0x9d in position 832: character ma
ps to

Error while runing app.py

I am facing the folowing error Traceback (most recent call last):
File "/content/Plagiarism-checker-Python/app.py", line 14, in
vectors = vectorize(student_notes)
File "/content/Plagiarism-checker-Python/app.py", line 10, in vectorize
def vectorize(Text): return TfidfVectorizer().fit_transform(Text).toarray()
File "/usr/local/lib/python3.10/dist-packages/sklearn/feature_extraction/text.py", line 1846, in fit_transform
X = super().fit_transform(raw_documents)
File "/usr/local/lib/python3.10/dist-packages/sklearn/feature_extraction/text.py", line 1202, in fit_transform
vocabulary, X = self._count_vocab(raw_documents,
File "/usr/local/lib/python3.10/dist-packages/sklearn/feature_extraction/text.py", line 1133, in _count_vocab
raise ValueError("empty vocabulary; perhaps the documents only"
ValueError: empty vocabulary; perhaps the documents only contain stop words

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