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andrea-dagostino/text_sim_tfidf_ita7.py

Created October 3, 2022 09:05
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text_sim_tfidf
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text_sim_tfidf_ita7.py
M = np.zeros((posts.shape[0], posts.shape[0])) # creiamo una matrice 30x30 per contenere i risultati di testo_i con testo_j
for i, row in tqdm(posts.iterrows(), total=posts.shape[0], desc='1st level'): # definiamo i
for j, next_row in posts.iterrows(): # definiamo j
M[i, j] = compute_similarity(row.article, next_row.article) # popoliamo la matrice con i risultati
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