Results 21 to 30 of about 4,438 (260)
Research on traditional Mongolian sentiment analysis combined with prior knowledge [PDF]
E3S Web of Conferences, 2022 In order to solve some problems of traditional machine learning algorithms in Mongolian sentiment analysis tasks, such as low accuracy, few sentiment corpus, and poor training effect, a Traditional Mongolian sentiment classification algorithm integrates ...
Zhang Qian, Ren Qingdaoerji, Ji Yatu
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Chinese Implicit Sentiment Classification Combining Multiple Linguistic Features [PDF]
Jisuanji kexue, 2023 Sentiment analysis has always been a hot research direction in natural language processing.Implicit sentiment classification refers to the task of sentiment classification without explicit sentiment words.At present,implicit sentiment analysis is still ...
LU Liangqian, WANG Zhongqing, ZHOU Guodong
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IEEE Access, 2019 Sentiment analysis of Chinese micro-blog based on sentiment dictionary has become a challenging research subject in the field of artificial intelligence.
Jiesheng Wu +3 more
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Future Internet, 2023 Social media have been a valuable data source for studying people’s opinions, intentions, and behaviours. Such a data source incorporating advanced big data analysis methods, such as machine-operated emotion and sentiment analysis, will open ...
Alireza Alaei +3 more
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Construction of a sentimental word dictionary [PDF]
Proceedings of the 19th ACM international conference on Information and knowledge management, 2010 The Web has plenty of reviews, comments and reports about products, services, government policies, institutions, etc. The opinions expressed in these reviews influence how people regard these entities. For example, a product with consistently good reviews is likely to sell well, while a product with numerous bad reviews is likely to sell poorly.
Eduard C. Dragut +3 more
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iTac: Aspect Based Sentiment Analysis using Sentiment Trees and Dictionaries [PDF]
Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014), 2014 This paper describes our approach for the fourth task of the SemEval 2014 challenge: Aspect Based Sentiment Analysis. Our system is designed to solve all four subtasks: (i) identifying aspect terms, (ii) determining the polarity of an aspect term, (iii) detecting aspect categories, and (iv) determining the polarity of a predefined aspect category.
Fritjof Bornebusch +14 more
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Journal of ICT, 2020 Sarcasm is a form of communication where the individual states the opposite of what is implied. Therefore, detecting a sarcastic tone is somewhat complicated due to its ambiguous nature.
Zahra Bokaee Nezhad +1 more
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Sentiment Analyzing by Dictionary based Approach
International Journal of Computer Applications, 2016 Sentiment analysis has emerged as a field of study since the widespread of World Wide Web and internet. Opinion refers to withdrawal of lines or phrase in the unprocessed and immense data which express an opinion. Sentiment analysis further recognizes the polarity of the viewpoint being extricated.
Rekha Bhatia, Fatehjeet Kaur
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Sentiment Polarity Analysis based multi-dictionary
Physics Procedia, 2011 AbstractThis paper presents a novel algorithm for Chinese online reviews, which identifies sentiment polarity. To determine the sentence is negative or positive, we extracted opinion words and identified their opinion targets by CRFs and establish the absolute emotional dictionary (AbED), the relative emotional dictionary (ReED), the field of emotional
Jiao, Jian, Zhou, Yanquan
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EPJ Data Science, 2017 The emergence and global adoption of social media has rendered possible the real-time estimation of population-scale sentiment, an extraordinary capacity which has profound implications for our understanding of human behavior.
Andrew J Reagan +4 more
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