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added modification to run the program for sample example shown in the paper #1

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added modification to run the program for sample example shown in the paper #1

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e09e569
added main function to run the sample example given in the paper
shahronak47 Dec 21, 2017
308fe92
Removed commented sentences
shahronak47 Dec 21, 2017
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21 changes: 15 additions & 6 deletions sentence_similarity.py
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Original file line number Diff line number Diff line change
Expand Up @@ -158,9 +158,7 @@ def semantic_vector(words, joint_words, info_content_norm):
i = i + 1
return semvec

def semantic_similarity(row):
sentence_1 = re.sub('[^A-Za-z0-9\s]', '', row['question1']).lower()
sentence_2 = re.sub('[^A-Za-z0-9\s]', '', row['question2']).lower()
def semantic_similarity(sentence_1, sentence_2 ):
info_content_norm = True
words_1 = nltk.word_tokenize(sentence_1)
words_2 = nltk.word_tokenize(sentence_2)
Expand Down Expand Up @@ -205,8 +203,8 @@ def word_order_similarity(sentence_1, sentence_2):

# In[10]:

def similarity(sentence_1, sentence_2, info_content_norm):
return DELTA * semantic_similarity(sentence_1, sentence_2, info_content_norm) + (1.0 - DELTA) * word_order_similarity(sentence_1, sentence_2)
def similarity(sentence_1, sentence_2):
return DELTA * semantic_similarity(sentence_1, sentence_2) + (1.0 - DELTA) * word_order_similarity(sentence_1, sentence_2)


# In[21]:
Expand Down Expand Up @@ -235,4 +233,15 @@ def jaccard_similarity_coefficient(sentence_1, sentence_2):



# In[26]:
if __name__ == '__main__' :
T1 = "RAM keeps things being worked with"
T2 = "The CPU uses RAM as a shortterm memory store"
similarity_score = similarity(T1, T2)
print("The similarity score of two sentences is: ", similarity_score)


#Execute the function from your console using
#python sentence_similarity.py

#OUTPUT
#The similarity score of two sentences is: 0.51861567435944533