Results 241 to 250 of about 30,779 (289)

Constructing domain-dependent sentiment dictionary for sentiment analysis

Neural Computing and Applications, 2020
Sentiment 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, 2008
This 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, Changqin Quan, Fuji Ren, Peng Chen   +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), 2021
The 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, Peng Su, Hui Zhao, Meikang Qiu, Meiqin Liu   +4 more
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Sentiment Classification of Movie Reviews Using Korean Sentiment Dictionary

Advanced Science and Technology Letters, 2014
While 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, 2022
We 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, Jared Jennings, Joshua Lee   +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), 2020
With 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, Jiayuan Sun, Lingyue Meng, Yan Liu   +3 more
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A novel sentiment aware dictionary for multi-domain sentiment classification

Computers & Electrical Engineering, 2018
Abstract 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., R, S., Shenoy, P.D., K R, V., Sangaiah, A.K.   +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, 2019
The 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), 2012
In 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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Sentiment analysis of microblog text based on sentiment dictionary

E-Learning and Digital Media
This study introduces a method for sentiment analysis applied to microblog texts, leveraging a sentiment dictionary. Focused on discerning sentiments as positive, negative, or neutral, the research incorporates a sentiment dictionary tailored for microblog content. The experiment employs a dataset pertaining to the new coronavirus epidemic
Gnanapriya S, Anandan K
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