By embedding prior knowledge into the learning structure, this paper presents a two-step
semi-supervised learning method called fuzzy deep belief networks (FDBN) for sentiment …

Sentiment analysis is a very challenging and important task that involves natural language
processing, web mining, and machine learning. Sentiment analysis in the Arabic language …

Huge volumes of data are accessible on the web. The discussion forum, blogs, review sites
and news are some of the rich resources for same. But all these data is uncategorized and …

While substantial studies have been achieved on sentiment polarity classification to date,
lacking enough opinion-annotated corpora for reliable training is still a challenge. In this …

This paper presents a DBN (deep belief nets) model and a multi-modality feature extraction
method to extend features' dimensionalities of short text for Chinese micro blogging …

Automatically acquiring semantic verb classes from corpora is a challenging task, especially
with no existing treebank. Building a high-performing parser for a language is still crucially …

意见挖掘在企业智能分析, 政府舆情分析等领域发挥着重要作用, 为了充分挖掘主观性文本所
蕴含的商业价值和社会价值, 提出了一种基于情感主题模型的特征选择方法 …

Complete information has become important part of the modern information based systems
to make them more human friendly. Dealing with information inaccuracy, fuzzy techniques …

As sentence level sentiment analysis having been studied extensively, it has been proven
that the syntactic structure of a sentence usually holds important information for sentiment …