Hongping Fu

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Opinion mining is a challenging task to identify the opinions or sentiments underlying user generated contents, such as online product reviews, blogs, discussion forums, etc. Previous studies that adopt machine learning algorithms mainly focus on designing effective features for this complex task. This paper presents our approach based on tree kernels for(More)
Question answering is a useful task to help people seek the knowledge of what they want to know. Previous study mainly focuses on factoid question answering, which serves the needs to answer factual questions. Due to rapidly increasing scale of user generated contents on the Web, people are more interested in opinion questions that can reflect others'(More)
Sentiment analysis, also known as opinion mining, is the analysis of the feelings (i. e. attitudes, emotions and opinions) behind the words. Sentiment analysis involves classifying the opinions as positive, negative, or neutral. Classification of textual objects in accordance with sentiment is considered to be a more difficult task than classification of(More)
Recently, biologically inspired models are gradually proposed to solve the problem in text analysis. Convolutional neural networks (CNN) are hierarchical artificial neural networks, which include a various of multilayer perceptrons. According to biological research, CNN can be improved by bringing in the attention modulation and memory processing of primate(More)