Results 221 to 230 of about 1,654 (258)

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 H. M. Ahmed, Qun Chen 0001, Zhanhuai Li   +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), 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 0002, Meikang Qiu, Meiqin Liu 0001   +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, 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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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.
Vandana Jha, Savitha R, P. Deepa Shenoy, K. R. Venugopal 0001, Arun Kumar Sangaiah   +4 more
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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, 2018
The 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, Yang Zhao, Li-Ting Jin, Yue Sun, Tong Liu   +4 more
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A hybrid approach for building a Vietnamese sentiment dictionary

Journal of Intelligent & Fuzzy Systems, 2018
Sentiment (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

2023
Communication 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, 2019
The 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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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 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.
Gnanapriya S, Anandan K
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