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A Fuzzy Computing Model for Identifying Polarity of Chinese Sentiment Words.

Computational intelligence and neuroscience
With the spurt of online user-generated contents on web, sentiment analysis has become a very active research issue in data mining and natural language processing. As the most important indicator of sentiment, sentiment words which convey positive an...

Evaluating a pivot-based approach for bilingual lexicon extraction.

Computational intelligence and neuroscience
A pivot-based approach for bilingual lexicon extraction is based on the similarity of context vectors represented by words in a pivot language like English. In this paper, in order to show validity and usability of the pivot-based approach, we evalua...

Encoding sequential information in semantic space models: comparing holographic reduced representation and random permutation.

Computational intelligence and neuroscience
Circular convolution and random permutation have each been proposed as neurally plausible binding operators capable of encoding sequential information in semantic memory. We perform several controlled comparisons of circular convolution and random pe...

Analyzing depression tendency of web posts using an event-driven depression tendency warning model.

Artificial intelligence in medicine
OBJECTIVE: The Internet has become a platform to express individual moods/feelings of daily life, where authors share their thoughts in web blogs, micro-blogs, forums, bulletin board systems or other media. In this work, we investigate text-mining te...