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from sklearn.feature_extraction.text import TfidfVectorizer |
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from sklearn.metrics.pairwise import cosine_similarity |
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from sklearn.feature_extraction import _stop_words |
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from convert import ExtractPDFText |
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def calculateATSscore(resume_data, job_description): |
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stopwords = list(_stop_words.ENGLISH_STOP_WORDS) |
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vectorizer = TfidfVectorizer(stop_words=stopwords) |
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vectors = vectorizer.fit_transform([job_description, resume_data]) |
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similarity_value = cosine_similarity(vectors) |
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print(similarity_value) |
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return similarity_value[0,1] |
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