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# Untitled

a guest Oct 13th, 2019 75 Never
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1.     smoothing_parameter = 0.369
2.     no_words_pos_rev = 0
3.     word_in_pos_rev ={}
4.
5.     no_words_neg_rev = 0
6.     word_in_neg_rev ={}
7.
8.     unique_words = set()
9.
10.     label = 0
11.     for review in train_set:
12.         # review is positive
13.         if train_labels[label] == 1:
14.             for word in review:
16.
17.                 no_words_pos_rev += 1
18.                 if word in word_in_pos_rev:
19.                     word_in_pos_rev[word] += 1
20.                 else:
21.                     word_in_pos_rev[word] = 1
22.         # review is negative
23.         else:
24.             for word in review:
26.
27.                 no_words_neg_rev += 1
28.                 if word in word_in_neg_rev:
29.                     word_in_neg_rev[word] += 1
30.                 else:
31.                     word_in_neg_rev[word] = 1
32.
33.
34.     sentiment_of_reviews = []
35.     for review in dev_set:
36.         positive_sentiment = np.log(pos_prior)
37.         negative_sentiment = np.log(1-pos_prior)
38.         for word in review:
39.             denomenator_pos = no_words_pos_rev + smoothing_parameter*(len(unique_words)+1)
40.             denomenator_neg = no_words_neg_rev + smoothing_parameter*(len(unique_words)+1)
41.
42.             if word in word_in_pos_rev:
43.                 # P(word_i|Positive) = (number of times word occured in a positive review) / (number of words in positive reviews)
44.                 positive_sentiment += np.log( (word_in_pos_rev[word] + np.log(smoothing_parameter) ) / denomenator_pos )
45.             else:
46.                 positive_sentiment += np.log(smoothing_parameter/denomenator_pos)
47.
48.             if word in word_in_neg_rev:
49.                 negative_sentiment += np.log( (word_in_neg_rev[word] + np.log(smoothing_parameter) ) / denomenator_neg )
50.             else:
51.                 negative_sentiment += np.log(smoothing_parameter/denomenator_neg)
52.         if positive_sentiment > negative_sentiment:
53.             sentiment_of_reviews.append(1)
54.         else:
55.             sentiment_of_reviews.append(0)
56.     print(sentiment_of_reviews)
57.     return sentiment_of_reviews
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