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List Compression for vector_index #3

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List Compression for vector_index #3

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8 changes: 2 additions & 6 deletions semanticpy/vector_space.py
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Original file line number Diff line number Diff line change
Expand Up @@ -58,13 +58,9 @@ def _get_vector_keyword_index(self, document_list):
""" create the keyword associated to the position of the elements within the document vectors """
vocabulary_list = self.parser.tokenise_and_remove_stop_words(document_list)
unique_vocabulary_list = self._remove_duplicates(vocabulary_list)

vector_index={}
offset=0

#Associate a position with the keywords which maps to the dimension on the vector used to represent this word
for word in unique_vocabulary_list:
vector_index[word] = offset
offset += 1
vector_index = dict([ (word, unique_vocabulary_list.index(word)) for word in unique_vocabulary_list])
return vector_index #(keyword:position)


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