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计算机应用研究 2011
Paradigm words selecting method based on word clustering for sentiments analysis
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Abstract:
This paper put forward a method of selecting paradigm words, which was based on the existing randomness and subjectivity issue.Firstly,it expanded words by a group of selected initial seed words;secondly,it obtained the second generation of seed words by means of hierarchical clustering.According to the similarity between two different expanded words, then it expanded and clustered the second generation seed words.At last it orderly iterated by same procedure to get the optimal clustering seed words as the final selected paradigm words.The experiment result indicates that the new method has a higher accuracy in selecting paradigm words while classifying the different emotional proclivities.