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59
Bilingual Co-Training for Sentiment Classification of Chinese Product Reviews
"... The lack of reliable Chinese sentiment resources limits research progress on Chinese sentiment classification. However, there are many freely available English sentiment resources on the Web. This article focuses on the problem of cross-lingual sentiment classification, which leverages only availabl ..."
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Cited by 4 (0 self)
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The lack of reliable Chinese sentiment resources limits research progress on Chinese sentiment classification. However, there are many freely available English sentiment resources on the Web. This article focuses on the problem of cross-lingual sentiment classification, which leverages only
Using bilingual knowledge and ensemble techniques for unsupervised Chinese sentiment analysis
- In Proceedings of EMNLP
, 2008
"... It is a challenging task to identify sentiment polarity of Chinese reviews because the resources for Chinese sentiment analysis are limited. Instead of leveraging only monolingual Chinese knowledge, this study proposes a novel approach to leverage reliable English resources to improve Chinese sentim ..."
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Cited by 31 (2 self)
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It is a challenging task to identify sentiment polarity of Chinese reviews because the resources for Chinese sentiment analysis are limited. Instead of leveraging only monolingual Chinese knowledge, this study proposes a novel approach to leverage reliable English resources to improve Chinese
Analyzing Sentiment in Classical Chinese Poetry
"... Although sentiment analysis in Chinese social media has attracted a lot of in-terest in recent years, it has been less explored in traditional Chinese literature (e.g., classical Chinese poetry) due to the lack of sentiment lexicon resources. In this paper, we propose a weakly super-vised approach b ..."
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Although sentiment analysis in Chinese social media has attracted a lot of in-terest in recent years, it has been less explored in traditional Chinese literature (e.g., classical Chinese poetry) due to the lack of sentiment lexicon resources. In this paper, we propose a weakly super-vised approach
Multilingual Subjectivity and Sentiment Analysis
"... Subjectivity and sentiment analysis focuses on the automatic identification of private states, such as opinions, emotions, sentiments, evaluations, beliefs, and speculations in natural language. While subjectivity classification labels text as either subjective or objective, sentiment classification ..."
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Cited by 2 (0 self)
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most of the researchers in the field are familiar with the methods applied on English, few of them have closely looked at the original research carried out in other languages. For example, in languages such as Chinese, researchers have been looking at the ability of characters to carry sentiment
Improving machine translation performance by exploiting non-parallel corpora
- Computational Linguistics
, 2005
"... We present a novel method for discovering parallel sentences in comparable, non-parallel corpora. We train a maximum entropy classifier that, given a pair of sentences, can reliably determine whether or not they are translations of each other. Using this approach, we extract parallel data from large ..."
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Cited by 140 (3 self)
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We present a novel method for discovering parallel sentences in comparable, non-parallel corpora. We train a maximum entropy classifier that, given a pair of sentences, can reliably determine whether or not they are translations of each other. Using this approach, we extract parallel data from
Extracting Product Features and Sentiments from Chinese Customer Reviews
"... With the growing interest in opinion mining from web data, more works are focused on mining in English and Chinese reviews. Probing into the problem of product opinion mining, this paper describes the details of our language resources, and imports them into the task of extracting product feature and ..."
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With the growing interest in opinion mining from web data, more works are focused on mining in English and Chinese reviews. Probing into the problem of product opinion mining, this paper describes the details of our language resources, and imports them into the task of extracting product feature
SentiWS – a Publicly Available German-language Resource for Sentiment Analysis
"... SentimentWortschatz, or SentiWS for short, is a publicly available German-language resource for sentiment analysis, opinion mining etc. It lists positive and negative sentiment bearing words weighted within the interval of [−1; 1] plus their part of speech tag, and if applicable, their inflections. ..."
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Cited by 10 (0 self)
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is verified being reliable and its shown that SentiWS provides a beneficial lexical resource for German-language sentiment analysis related tasks to build on. 1.
Sentiment Classification in Resource-Scarce Languages by using Label Propagation
"... Abstract. With the advent of consumer generated media (e.g., Amazon reviews, Twitter, etc.), sentiment classification becomes a heated topic. Previous work heavily relies on a large amount of linguistic resources, which are difficult to obtain in resource-scarce languages. To overcome this problem, ..."
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(TSVMs) in a document-level sentiment classification task for resource-scarce languages (Chinese in our case).
Negative Sentiment and the Lunar Moon Festival Effect!
, 2007
"... We propose a new seasonal anomaly associated with the Lunar Moon Festival (LMF) and caused by negative sentiment. This effect not only reduces share turnover but also lowers return volatility and stock returns. It is strongest for China, Taiwan and South Korea where the LMF is a public or cultural h ..."
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holiday. Our results show that this effect is separated from the Gone Fishin ’ effect and cannot be explained by the Moon Phases effect. Moreover, it affects stock markets where overseas Chinese investors possess significant resources and persists in the subperiod – from January 1998 to June 2006.
Twitter based system: Using twitter for disambiguating sentiment ambiguous adjectives
- In Proceedings of SemEval 2010, SemEval ’10
, 2010
"... In this paper, we describe our system which participated in the SemEval 2010 task of disambiguating sentiment ambiguous adjectives for Chinese. Our system uses text messages from Twitter, a popular microblogging platform, for building a dataset of emotional texts. Using the built dataset, the system ..."
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Cited by 12 (0 self)
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In this paper, we describe our system which participated in the SemEval 2010 task of disambiguating sentiment ambiguous adjectives for Chinese. Our system uses text messages from Twitter, a popular microblogging platform, for building a dataset of emotional texts. Using the built dataset
Results 1 - 10
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