Updated outs
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505e948550
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254
dev-0/out.tsv
254
dev-0/out.tsv
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26
predict.py
26
predict.py
@ -7,7 +7,7 @@ import sys
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import nltk
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import nltk
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from nltk.corpus import stopwords
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from nltk.corpus import stopwords
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def calc_post_class(post, paranormal_class_logprob, sceptic_class_logprob, bigrams_logprobs, words_logprobs):
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def calc_post_class(post, paranormal_class_logprob, sceptic_class_logprob, bigrams_logprobs, words_logprobs, total_sceptic_bigram, total_paranormal_bigram, total_sceptic_word, total_paranormal_word):
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text, timestap = post.rstrip('\n').split('\t')
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text, timestap = post.rstrip('\n').split('\t')
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tokens = clear_post(text)
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tokens = clear_post(text)
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#tokens = text.lower().split(' ')
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#tokens = text.lower().split(' ')
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@ -22,11 +22,20 @@ def calc_post_class(post, paranormal_class_logprob, sceptic_class_logprob, bigra
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product += bigrams_logprobs[class_][bigram]
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product += bigrams_logprobs[class_][bigram]
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except KeyError:
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except KeyError:
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product += 0
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product += 0
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# if class_ == 'sceptic':
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# product += math.log(1/total_sceptic_bigram)
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# elif class_ == 'paranormal':
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# product += math.log(1/total_paranormal_bigram)
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for token in tokens:
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for token in tokens:
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try:
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try:
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product += words_logprobs[class_][token]
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product += words_logprobs[class_][token]/7
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except KeyError:
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except KeyError:
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product += 0
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product +=0
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#if class_ == 'sceptic':
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# product += math.log(1/total_sceptic_word)
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#elif class_ == 'paranormal':
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# product += math.log(1/total_paranormal_word)
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if class_ == 'sceptic':
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if class_ == 'sceptic':
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product += sceptic_class_logprob
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product += sceptic_class_logprob
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elif class_ == 'paranormal':
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elif class_ == 'paranormal':
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@ -65,10 +74,17 @@ def main():
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sceptic_class_logprob = pickle_list[1]
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sceptic_class_logprob = pickle_list[1]
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bigrams_logprobs = pickle_list[2]
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bigrams_logprobs = pickle_list[2]
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words_logprobs = pickle_list[3]
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words_logprobs = pickle_list[3]
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total_sceptic_bigram = pickle_list[4]
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total_paranormal_bigram = pickle_list[5]
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total_sceptic_word = pickle_list[6]
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total_paranormal_word = pickle_list[7]
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print(math.log(1/total_sceptic_bigram))
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print(math.log(1/total_paranormal_bigram))
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print(math.log(1/total_sceptic_word))
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print(math.log(1/total_paranormal_word))
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with open(in_file) as in_f, open(out_file, 'w') as out_f:
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with open(in_file) as in_f, open(out_file, 'w') as out_f:
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for line in in_f:
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for line in in_f:
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hyp = calc_post_class(line, paranormal_class_logprob, sceptic_class_logprob, bigrams_logprobs, words_logprobs)
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hyp = calc_post_class(line, paranormal_class_logprob, sceptic_class_logprob, bigrams_logprobs, words_logprobs, total_sceptic_bigram, total_paranormal_bigram, total_sceptic_word, total_paranormal_word)
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if hyp == 'sceptic':
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if hyp == 'sceptic':
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out_f.write(' S\n')
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out_f.write(' S\n')
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elif hyp == 'paranormal':
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elif hyp == 'paranormal':
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264
test-A/out.tsv
264
test-A/out.tsv
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Load Diff
6
train.py
6
train.py
@ -147,7 +147,11 @@ def main():
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bigrams_count, words_count = launch_bigrams_and_words(in_file, expected_file)
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bigrams_count, words_count = launch_bigrams_and_words(in_file, expected_file)
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bigram_logprobs = calc_bigram_logprobs(bigrams_count)
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bigram_logprobs = calc_bigram_logprobs(bigrams_count)
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word_logprobs = calc_word_logprobs(words_count)
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word_logprobs = calc_word_logprobs(words_count)
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total_sceptic_bigram = sum(bigrams_count['sceptic'].values()) + len(bigrams_count['sceptic'].keys())
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total_paranormal_bigram = sum(bigrams_count['paranormal'].values()) + len(bigrams_count['paranormal'].keys())
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total_sceptic_word = sum(words_count['sceptic'].values()) + len(words_count['sceptic'].keys())
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total_paranormal_word = sum(words_count['paranormal'].values())+ len(words_count['paranormal'].keys())
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with open(model, 'wb') as f:
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with open(model, 'wb') as f:
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pickle.dump([paranormal_class_logprob, sceptic_class_logprob, bigram_logprobs, word_logprobs],f)
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pickle.dump([paranormal_class_logprob, sceptic_class_logprob, bigram_logprobs, word_logprobs, total_sceptic_bigram, total_paranormal_bigram, total_sceptic_word, total_paranormal_word],f)
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main()
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main()
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