52 Amazing Python Projects For Developers by Learning Edcorner

Author:Learning, Edcorner
Language: eng
Format: epub, pdf
Published: 2022-01-12T16:00:00+00:00

def similarity(doc1, doc2): return cosine_similarity([doc1, doc2])

# Vectorize the Textual Data

vectors = vectorize(student_notes)

s_vectors = list(zip(student_files, vectors))

# computing the similarity among students

def check_plagiarism():

plagiarism_results = set()

global s_vectors

for student_a, text_vector_a in s_vectors:

new_vectors = s_vectors.copy()

current_index = new_vectors.index((student_a, text_vector_a))

del new_vectors[current_index]

for student_b, text_vector_b in new_vectors:

sim_score = similarity(text_vector_a, text_vector_b)[0][1]

student_pair = sorted((student_a, student_b))

score = (student_pair[0], student_pair[1], sim_score)

plagiarism_results.add(score)

return plagiarism_results

for data in check_plagiarism():

print(data)

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