Results 11 to 20 of about 670,803 (262)
Review of Deep Learning for Short Text Sentiment Tendency Analysis
Jisuanji kexue yu tansuo, 2021 Short text sentiment tendency analysis is one of the key research issues in the field of natural language processing. Sentiment tendency analysis is a series of methods, techniques and tools used to detect the semantics of subjective inclination ...
TANG Lingyan, XIONG Congcong, WANG Yuan, ZHOU Yubo, ZHAO Zijian
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Short Text Aspect-Based Sentiment Analysis Based on CNN + BiGRU
Applied Sciences, 2022 This paper describes the construction a short-text aspect-based sentiment analysis method based on Convolutional Neural Network (CNN) and Bidirectional Gating Recurrent Unit (BiGRU).
Ziwen Gao +3 more
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Zhishi guanli luntan, 2021 [Purpose/significance] Different from the rapid development of the Internet, the development of personal information security protection is relatively lagging.
Liu Yaqi, Li Dezhi, Wang Ruixue
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Heterogeneous Graph Neural Network for Short Text Classification
Applied Sciences, 2022 Aiming at the sparsity of short text features, lack of context, and the inability of word embedding and external knowledge bases to supplement short text information, this paper proposes a text, word and POS tag-based graph convolutional network (TWPGCN)
Bingjie Zhang, Qing He, Damin Zhang
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Arabic Short Text Compression [PDF]
Journal of Computer Science, 2010 Problem statement: Text compression permits representing a document by using less space.This is useful not only to save disk space, but more importantly, to save disk transfer and network transmission time.With the continues increase in the number of Arabic short text messages sent by mobile phones, the use of a suitable compression scheme would allow ...
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GLTM: A Global and Local Word Embedding-Based Topic Model for Short Texts
IEEE Access, 2018 Short texts have become a kind of prevalent source of information, and discovering topical information from short text collections is valuable for many applications.
Wenxin Liang +4 more
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IDEST: International Database of Emotional Short Texts
PLOS ONE, 2022 We introduce a database (IDEST) of 250 short stories rated for valence, arousal, and comprehensibility in two languages. The texts, with a narrative structure telling a story in the first person and controlled for length, were originally written in six different languages (Finnish, French, German, Portuguese, Spanish, and Turkish), and rated for ...
Ruiz-Fernandez, Susana +12 more
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ULW-DMM: An Effective Topic Modeling Method for Microblog Short Text
IEEE Access, 2019 With the popularity of social media, including micro-blog, mining effective information in short texts has become an increasingly important issue. However, due to the sparseness, high dimensionality and large amount of data, mining this information is a ...
Jia Yu, Lirong Qiu
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IEEE Access, 2018 Sentiment classification of online reviews is playing an increasingly important role for both consumers and businesses in cyber-physical-social systems.
Xu Yuan +4 more
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Komparasi Term Weighting dan Word Embedding pada Klasifikasi Tweet Pemerintah Daerah
Jurnal Nasional Teknik Elektro dan Teknologi Informasi, 2020 Munculnya media sosial mendorong pemerintah untuk memanfaatkan media sosial sebagai sarana penyebaran informasi. Informasi yang diberikan haruslah bermanfaat bagi masyarakat dalam rangka meningkatkan hubungan government to citizen.
Pande Made Risky Cahya Dinatha +1 more
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