andrea-dagostino · October 3, 2022 22:13
diff --git a/text_sim_tfidf_eng1.py b/text_sim_tfidf_eng1.py
 M = np.zeros((posts.shape[0], posts.shape[0])) # we create a 30x30 matrix to contain the results of article_i with article_j


 for i, row in tqdm(posts.iterrows(), total=posts.shape[0], desc='1st level'): # we define i
 	for j, next_row in posts.iterrows(): # we define j
 		M[i, j] = compute_similarity(row.article, next_row.article) # we populate the matrix with the results
	M = np.zeros((posts.shape[0], posts.shape[0])) # we create a 30x30 matrix to contain the results of article_i with article_j


	for i, row in tqdm(posts.iterrows(), total=posts.shape[0], desc='1st level'): # we define i
	for j, next_row in posts.iterrows(): # we define j
	M[i, j] = compute_similarity(row.article, next_row.article) # we populate the matrix with the results