Identifying Subjective Adjectives through Web-based Mutual Information
نویسندگان
چکیده
This paper describes a method for ranking a large list of adjectives according to a subjectivity score without resorting to any knowledge-intensive external resources (such as lexical databases, parsers or manual annotation). The method only requires a list of adjectives to be ranked and a small set of “seeds” (manually selected subjective adjectives). The subjectivity score is obtained by computing the mutual information of pairs of adjectives taken from each set, using frequency and cooccurrence frequency counts on the World Wide Web, collected through queries to the AltaVista search engine. The obtained results improve significantly over a comparable low-resource acquisition algorithm.
منابع مشابه
UA-ZBSA: A Headline Emotion Classification through Web Information
This paper presents a headline emotion classification approach based on frequency and co-occurrence information collected from the World Wide Web. The content words of a headline (nouns, verbs, adverbs and adjectives) are extracted in order to form different bag of word pairs with the joy, disgust, fear, anger, sadness and surprise emotions. For each pair, we compute the Mutual Information Scor...
متن کاملIdentifying the semantic orientation of terms using S-HAL for sentiment analysis
0950-7051/$ see front matter 2012 Elsevier B.V. A http://dx.doi.org/10.1016/j.knosys.2012.04.011 ⇑ Corresponding author at: MOE Key Laboratory Network Security, Xi’an Jiaotong University, Xi’an 71 82667964. E-mail addresses: [email protected] (T. Xu (Q. Peng). Sentiment analysis continues to be a most important research problem due to its abundant applications. Identifying the semantic orien...
متن کاملRevised Mutual Information Approach for German Text Sentiment Classificatio
The significant increase in content of online social media such as product reviews, blogs, forums etc., have led to an increasing attention to sentiment analysis tools and approaches that make use of mining this substantially growing content. The aim of this paper is to develop a robust classification approach of customer reviews based on a selfannotated domain-specific corpus by applying a sta...
متن کاملVisual Analysis of Tag Co-occurrence on Nouns and Adjectives
In recent years, due to the wide spread of photo sharing Web sites such as Flickr and Picasa, we can put our own photos on the Web and show them to the public easily. To make the photos searched for easily, it is common to add several keywords which are called as “tags” when we upload photos. However, most of the tags are added one by one independently without much consideration of association ...
متن کاملOpinion Polarity Identification through Adjectives
“What other people think” has always been an important piece of information during various decision-making processes. Today people frequently make their opinions available via the Internet, and as a result, the Web has become an excellent source for gathering consumer opinions. There are now numerous Web resources containing such opinions, e.g., product reviews forums, discussion groups, and Bl...
متن کامل