Papers in this group
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An important part of information-gathering behaviour has always been to find out what other people think and whether they have favourable (positive) or unfavourable (negative) opinions about the subject. This survey studies the role of negation in…
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We investigated the pairing of a financial news article prediction system, AZFinText, with sentiment analysis techniques. From our comparisons we found that news articles of a subjective nature were easier to predict in both price direction (59.0%…
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In recent years, blogs have become the major platform for people to express their opinions and sentiments in the Web age. The traditional blog search engines usually employ topic-oriented techniques, which are not easy for users to make better…
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More and more users and manufacturers concern about product reviews on the web, but it's difficult to quickly find interesting content from massive information. In order to mine sentiment polarity from review sentences, two approaches for product…
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This paper reports on the extension of our previous work on feature-based opinion mining for Thai language. In this paper, we present an approach for automatically constructing two main lexicons: features and polar words based on syntactic pattern…
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Opinion analysis such as opinion extraction, sentiment classification, and finding opinion holder is highly researched by many researchers during recent few years. In this paper, we propose a mixed-weighting scheme combining TFIDF and Naïve Bayesian…
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News columns are opinionated contents in newspapers such as editorials where columnists usually express their opinion and taking side explicitly with issues in the society. While this is normal in democratic society, in some places where journalism…
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Existing opinion retrieval techniques do not provide contextdependent relevant results. Most of the approaches used by state-ofthe- art techniques are based on frequency of query terms, such that all documents containing query terms are retrieved,…
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Opinion holder extraction research is important for discriminating between opinions that are viewed from different perspectives. In this paper, we describe our experience of participation in the NTCIR-6 Opinion Analysis Pilot Task by focusing on…
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The simplicity of using Web 2.0 platforms and services has resulted in an abundance of user-generated content. A significant part of this content contains user opinions with clear economic relevance - customer and travel reviews, for example, or the…
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The analysis of business/financial news has become a popular area of research because of the possibility to infer the future prospects of companies, economies and economic actors in general on information contained in the media. The classical…
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Recent sentiment analysis research has focused on the functional relations of words using typed dependency parsing as this provides a refined analysis on the grammar and semantics of the textual data, which could improve performance. However, typed…
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News can be good or bad, but it is seldom neutral. Although full comprehension of natural language text remains well be- yond the power of machines, the statistical analysis of rela- tively simple sentiment cues can provide a surprisingly mean-…
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Subjectivity and sentiment analysis (SSA) is an area that has been witnessing a flurry of novel research. However, only few attempts have been made to build SSA systems for morphologically-rich languages (MRL). In the current study, we report…
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News Comments on the web express readers attitudes or opinions about an event or object in the corresponding news article. And opinion target extrac- tion from news comments is very impor- tant for many useful Web applications. However, many…
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The boom of the Social Web has had a tremendous impact on a number of different research topics. In particular, the possibility to extract various kinds of added-value, informational elements from users’ opinions has attracted researchers from the…
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We are interested in finding how people feel about certain topics. This could be considered as a task of classifying the sentiment: sentiment could be positive, negative or neutral. In this paper, we examine the problem of automatic sentiment…
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The Opinion Detection from blogs has always been a challenge for researchers. One of the challenges faced is to find such documents that specifically contain opinion on users' information need. This requires text processing on sentence level rather…
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We describe a system which uses lexical shallow parsing to find adjectival “appraisal groups” in sen- tences, which convey a positive or negative appraisal of an item. We used a simple heuristic to detect opin- ion holders, determining whether a…
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This article introduces a novel approach for sentiment analysis – the clustering-based sentiment analysis approach. By applying a TF-IDF weighting method, a voting mechanism and importing term scores, an acceptable and stable clustering result can…