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Sentiment Analysis: Mining Opinions, Sentiments, and Emotions
Social media online business text mining the fuzzy
2016/10/31
With the increasing development of Web 2.0, such as social media and online businesses,the need for perception of opinions, attitudes, and emotions grows rapidly. Sentiment analysis, the topic studyin...
We present a lexicon-based approach to extracting sentiment from text. The Semantic Orientation CALculator (SO-CAL) uses dictionaries of words annotated with their semantic orientation
(polarity and ...
Unsupervised vector-based approaches to semantics can model rich lexical meanings, but they largely fail to capture sentiment information that is central to many word meanings and important for a wide...
Multi-Dimensional Sentiment Analysis with Learned Representations
Multi-Dimensional Sentiment Analysis Learned Representations
2015/6/15
Treating sentiment analysis as a classification problem has proven extremely useful, but it misses the blended, continuous nature of sentiment expression in natural language. Using data from the Exper...
Exploiting Social Network Structure for Person-to-Person Sentiment Analysis
Social Network Structure Person-to-Person Sentiment Analysis
2015/6/15
Person-to-person evaluations are prevalent in all kinds of discourse and important for establishing reputations, building social bonds,and shaping public opinion. Such evaluations can be analyzed sepa...
Automated Sentiment Analysis of Online News on China Issues in Western Mainstream Media
Sentiment Analysis Western Maintream Media China Issues E-government
2014/12/3
Drawing on studies in media discourse analysis and advances in natural language processing, data mining and information access, a framework for automated sentiment analysis of news report from Western...
In this position paper, we propose a first step toward automatic analysis of sentiments in dreams. 100 dreams were sampled from a dream bank created for a normative study of dreams. Two human judges a...