Created
February 14, 2016 22:17
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# Simple sentiment analysis with lots and lots of problems. For answer to Quora thread: | |
# https://www.quora.com/Would-it-be-possible-for-an-undergraduate-like-me-to-create-a-sentiment-analysis-program | |
import sys | |
from collections import counter | |
with open(sys.argv[1]) as file_: | |
positive_text = file_.read() | |
with open(sys.argv[2]) as file_: | |
negative_text = file_.read() | |
with open(sys.argv[3]) as file_: | |
problem_text = file_.read() | |
positive_freqs = Counter(positive_text.split()) | |
negative_freqs = Counter(negative_text.split()) | |
problem_freqs = Counter(problem_text.split()) | |
positive_score = 0.0 | |
negative_score = 0.0 | |
for word, freq in problem_freqs.items(): | |
pos_freq = positive_freqs.get(word, 0.01) | |
neg_freq = negative_freqs.get(word, 0.01) | |
positive_score += freq * (pos_freq / (pos_freq + neg_freq)) | |
negative_score += freq * (neg_freq / (pos_freq + neg_freq)) | |
if positive_score >= negative_score: | |
print("It's positive!", positive_score, negative_score) | |
else: | |
print("It's negative!", positive_score, negative_score) |
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