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Generating a sentiment dictionary in R and dictionary-based sentiment analysis in Turkish texts
Digital Scholarship in the Humanities, 2022Abstract Dictionary-based sentiment analysis is a text mining application that allows comments about the sentimental states of the text or documents through the sentimental poles of the words. In recent years, it has become quite popular in many disciplines such as trade, health, education, usage for various purposes.
Bilal Barış Alkan +2 more
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Constructing domain-dependent sentiment dictionary for sentiment analysis
Neural Computing and Applications, 2020Sentiment dictionary is of great value to sentiment analysis, which is used widely in sentiment analysis compositionality. However, the sentiment polarity and intensity of the word may vary from one domain to another. In this paper, we introduce a novel approach to build domain-dependent sentiment dictionary, SentiDomain.
Murtadha Ahmed, Qun Chen, Zhanhuai Li
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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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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 Classification of Movie Reviews Using Korean Sentiment Dictionary
Advanced Science and Technology Letters, 2014While there exists a large volume of research on sentiment classification of English customer reviews using English sentiment dictionaries, there are few researches on classifying sentiment of Korean customer reviews using Korean sentiment dictionaries.
Heeryon Cho, Sang-Hyun Choi
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Disclosure Sentiment: Machine Learning vs. Dictionary Methods
Management Science, 2022We compare the ability of dictionary-based and machine-learning methods to capture disclosure sentiment at 10-K filing and conference-call dates. Like Loughran and McDonald [Loughran T, McDonald B (2011) When is a liability not a liability? Textual analysis, dictionaries, and 10-Ks. J. Finance 66(1):35–65.], we use returns to assess sentiment. We find
Richard Frankel +2 more
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Sentiment Analysis of E-commerce Text Reviews Based on Sentiment Dictionary
2020 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA), 2020With the rapid development of the Internet, the advantages of e-commerce in marketing have become prominent. However, it is difficult for consumers to choose a variety of products of the same type. Consumers give feedback on the purchase process in the form of comments, and in this way influence other users' purchase decisions.
Yanrong Zhang +3 more
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A novel sentiment aware dictionary for multi-domain sentiment classification
Computers & 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.
Jha, V. +4 more
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Text sentiment classification based on the automatic expansion of sentiment dictionary
Proceedings of the 5th International Conference on Communication and Information Processing, 2019The sentiment dictionary-based text sentiment classification method is one of the main methods in the field of sentiment analysis, and the completeness of the sentiment dictionary is one of the key factors of the method. With the constant appearance of the new terms on Internet, the static sentiment dictionary cannot cover all the sentiment words.
Haijie Pang, Hua Zhao, Chenjing Gong
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Text sentiment classification for SNS-based marketing using domain sentiment dictionary
2012 IEEE International Conference on Consumer Electronics (ICCE), 2012In this paper, we propose a new method of classifying the sentiment behind tweets that contains formal and informal vocabulary. Previous methods used only formal vocabulary to classify the sentiments behind the sentences. However, these methods are ineffective in classifying texts since internet users make sentences using informal vocabulary.
null Sang-Hyun Cho, null Hang-Bong Kang
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