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A novel sentiment aware dictionary for multi-domain sentiment classification
Computers and Electrical Engineering, 2018Abstract Sentiment Analysis is a sub area of Natural Language Processing (NLP) which extracts user’s opinion and classifies it according to its polarity. This task has many applications but it is domain dependent and a costly task to annotate the corpora in every possible domain of interest before training the classifier.
Arun Kumar Sangaiah +2 more
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Research on Sentiment Dictionary Based on Sentiment Analysis in News Domain
2021 7th IEEE Intl Conference on Big Data Security on Cloud (BigDataSecurity), IEEE Intl Conference on High Performance and Smart Computing, (HPSC) and IEEE Intl Conference on Intelligent Data and Security (IDS), 2021The known Chinese sentiment dictionary has universal applicability, lacks the expansion of proprietary domains, and lacks support for network words. This paper proposes a new approach and applies it to the Internet news sentiment analysis text provided by the CCF Big Data & Computing Intelligence Contest.
Yihang Gao +4 more
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Sentiment and sentimental agent identification based on sentimental sentence dictionary
2008 International Conference on Natural Language Processing and Knowledge Engineering, 2008This paper presents a method of sentiment and sentimental agent identification based on Chinese sentimental sentence dictionary. Our method can identify eight kinds of sentiment (including joy, sorrow, love, disgust, surprise, anxiety, anger and hate), and the main sentimental agent.
Dong Liu +3 more
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Dynamic Construction of Dictionaries for Sentiment Classification
2013 International Conference on Cloud and Green Computing, 2013The sentiment classification is one of the new challenges emerged with the advence of social networks. Our purpose is to determine the sentimental orientation of a Facebook comment (positive or negative) by using the linguistic approach. In most of the sentiment analysis applications using this approach, the sentiment lexicon plays a key role. Thus, it
Salma Jamoussi, Hanen Ameur
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Research on the Construction of Sentiment Dictionary Based on Word2vec
Proceedings of the 2018 International Conference on Algorithms, Computing and Artificial Intelligence, 2018The construction of sentiment dictionary is one of the most important basic tasks in the field of text mining. At the moment, there is no universal and complete sentiment dictionary in the field of text mining. In this study, a method of constructing sentiment dictionary based on Word2vec is proposed.
Xiao-yu Song +4 more
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Sentiment analysis of Chinese micro-blog text based on extended sentiment dictionary
Future Generation Computer Systems, 2018Abstract Micro-blog texts contain complex and abundant sentiments which reflect user’s standpoints or opinions on a given topic. However, the existing classification method of sentiments cannot facilitate micro-blog topic monitoring. To solve this problem, this paper presents a sentiment analysis method for Chinese micro-blog text based on the ...
Shunxiang Zhang +2 more
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Polarity Consistency Checking for Domain Independent Sentiment Dictionaries [PDF]
IEEE Transactions on Knowledge and Data Engineering, 2015 Polarity classification of words is important for applications such as Opinion Mining and Sentiment Analysis. A number of sentiment word/sense dictionaries have been manually or (semi)automatically constructed. We notice that these sentiment dictionaries have numerous inaccuracies.
Weiyi Meng, Clement Yu
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A hybrid approach for building a Vietnamese sentiment dictionary
Journal of Intelligent & Fuzzy Systems, 2018Sentiment (or emotional) dictionaries play a key role and are “the materials” for sentiment analysis applications, especially in Vietnamese where the corpus is not yet available. In this research, we propose a sentiment dictionary for Vietnamese, known as VNSD, which adopts machine translation, Logistic Regression, “double propagation,” and fuzzy rules.
Thien Khai Tran, Tuoi Thi Phan
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CSR & Sentiment Analysis: A New Customized Dictionary
2023Communication concerning the CSR pillars is key to sustainable corporate development. Sentiment analysis (SA) is a sub-area of natural language processing for studying communication through the classification of negative or positive opinions. Measuring sentiment is characterized by pitfalls related to: a) the context, where the polarity classification ...
Emma Zavarrone, Alessia Forciniti
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Sentiment Analysis of Film Review Texts Based on Sentiment Dictionary and SVM
Proceedings of the 2019 3rd International Conference on Innovation in Artificial Intelligence, 2019The sentiment analysis of the film review text is to extract and analyze the hidden sentiment information in the text data, thereby helping the network personnel such as the media platform to analyze the audience's preference for the film. Based on this, this paper proposes a film review text sentiment analysis method based on SVM classification ...
Kui Lu, Jiesheng Wu
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