A survey on sentiment detection of reviews

@article{Tang2009ASO,
  title={A survey on sentiment detection of reviews},
  author={Huifeng Tang and Songbo Tan and Xueqi Cheng},
  journal={Expert Syst. Appl.},
  year={2009},
  volume={36},
  pages={10760-10773}
}
The sentiment detection of texts has been witnessed a booming interest in recent years, due to the increased availability of online reviews in digital form and the ensuing need to organize them. Till to now, there are mainly four different problems predominating in this research community, namely, subjectivity classification, word sentiment classification, document sentiment classification and opinion extraction. In fact, there are inherent relations between them. Subjectivity classification… Expand
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References

SHOWING 1-10 OF 159 REFERENCES
Using Appraisal Taxonomies for Sentiment Analysis
Recent years have seen a growing interest in non-topical text analysis, in which characterizations are sought of the opinions, feelings, and attitudes expressed in a text, rather than just the facts.Expand
Sentiment Classification for Movie Reviews in Chinese by Improved Semantic Oriented Approach
  • Q. Ye, Wen Shi, Yijun Li
  • Computer Science
  • Proceedings of the 39th Annual Hawaii International Conference on System Sciences (HICSS'06)
  • 2006
TLDR
The improved semantic approach for sentiment classification on movie reviews written in Chinese was proposed and data experiment shows the capability of this approach. Expand
Sentiment analyzer: extracting sentiments about a given topic using natural language processing techniques
TLDR
This work presents sentiment analyzer (SA) that extracts sentiment (or opinion) about a subject from online text documents using natural language processing (NLP) techniques. Expand
Sentiment analysis: capturing favorability using natural language processing
This paper illustrates a sentiment analysis approach to extract sentiments associated with polarities of positive or negative for specific subjects from a document, instead of classifying the wholeExpand
Sentiment classification using phrase patterns
TLDR
A phrase pattern-based method in classifying sentiment orientation of text to analyze whether the text expresses a favorable or unfavorable sentiment for a specific subject and achieves an accuracy rate of 86% when used to evaluate sports reviews from some Websites. Expand
Sentiment Classification Using Word Sub-sequences and Dependency Sub-trees
TLDR
Text mining techniques are used to extract frequent word sub-sequences and dependency sub-trees from sentences in a document dataset and use them as features of support vector machines for document sentiment classification. Expand
Determining the Sentiment of Opinions
TLDR
A system that, given a topic, automatically finds the people who hold opinions about that topic and the sentiment of each opinion and another module for determining word sentiment and another for combining sentiments within a sentence is presented. Expand
The Sentimental Factor: Improving Review Classification Via Human-Provided Information
TLDR
This work extends an existing procedure by re-interpreting it as a Naive Bayes model for document sentiment by incorporating additional derived features into the model and, where possible, using labeled data to estimate their relative influence. Expand
A Sentimental Education: Sentiment Analysis Using Subjectivity Summarization Based on Minimum Cuts
TLDR
A novel machine-learning method is proposed that applies text-categorization techniques to just the subjective portions of the document, which greatly facilitates incorporation of cross-sentence contextual constraints. Expand
A Preliminary Investigation into Sentiment Analysis of Informal Political Discourse
TLDR
Preliminary statistical tests on a new dataset of political discussion group postings indicate that posts made in direct response to other posts in a thread have a strong tendency to represent an opposing political viewpoint to the original post. Expand
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