全部文献期刊会议图书|学者科研项目
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作者:Minghui Huang , Haoran Xie , Yanghui Rao ...
来源:[J].Information Sciences(IF 3.643), 2020, Vol.520, pp.389-399
摘要:Abstract(#br)Sentiment strength detection is an essential task in sentiment analysis, wherein the sentiment strength of subjective text is automatically determined. Sentiment analysis has numerous applications in different sectors, including business and social domains. In this s...
作者:Jiyao Wei , Jian Liao , Zhenfei Yang ...
来源:[J].Neurocomputing(IF 1.634), 2020, Vol.383, pp.165-173
摘要:Abstract(#br)Sentiment analysis has been a popular field in natural language processing. Sentiments can be expressed explicitly or implicitly. Most current studies on sentiment analysis focus on the identification of explicit sentiments. However, implicit sentiment analysis has b...
作者:Pinlong Zhao , Linlin Hou , Ou Wu
来源:[J].Knowledge-Based Systems(IF 4.104), 2020, Vol.193
摘要:Abstract(#br)Aspect-level sentiment classification aims to distinguish the sentiment polarities over one or more aspect terms in a sentence. Existing approaches mostly model different aspects in one sentence independently, which ignore the sentiment dependencies between different...
作者:Jing Zhang , Mei Chen , Han Sun ...
来源:[J].Knowledge-Based Systems(IF 4.104), 2020, Vol.191
摘要:Abstract(#br)With the development of artificial intelligence and deep learning, image sentiment analysis has become a hotspot in computer vision and attracts more attention. Most of the existing methods focus on identifying the emotions by studying complex models or robust featur...
作者:Fangzhao Wu , Yongfeng Huang , Zhigang Yuan
来源:[J].Information Fusion(IF 2.262), 2017, Vol.35, pp.26-37
摘要:Abstract(#br)Analyzing the sentiments in massive user-generated online data, such as product reviews and microblogs, has become a hot research topic. It can help customers, companies and expert systems make more informed decisions. Sentiment analysis is widely known as a domain d...
作者:Chuanjun Zhao , Suge Wang , Deyu Li
来源:[J].Computer Speech & Language(IF 1.463), 2018
摘要:Abstract(#br)Sentiment lexicons including opinion words, sentiment phrases, and idioms with sentiment polarities play an important role in sentiment analysis tasks. Apart from explicit sentiment features, extracting implicit sentiment features is a challenging research issue. The...
作者:Fang Chen , Zhigang Yuan , Yongfeng Huang
来源:[J].Knowledge-Based Systems(IF 4.104), 2020, Vol.187
摘要:Abstract(#br)Neural networks have achieved great success in aspect-level sentiment classification due to their ability to learn sentiment knowledge from text. Generally, the effectiveness of neural networks relies on sufficiently large training corpora. However, existing aspect-l...
作者:Osman Gokalp , Erdal Tasci , Aybars Ugur
来源:[J].Expert Systems With Applications(IF 1.854), 2020, Vol.146
摘要:Abstract(#br)In recent years, sentiment analysis is becoming more and more important as the number of digital text resources increases in parallel with the development of information technology. Feature selection is a crucial sub-stage for the sentiment analysis as it can impro...
作者:Weijiang Li , Fang Qi , Ming Tang ...
来源:[J].Neurocomputing(IF 1.634), 2020, Vol.387, pp.63-77
摘要:Abstract(#br)There are a lot of linguistic knowledge and sentiment resources nowadays, but in the current research with deep learning framework, these kinds of unique sentiment information are not fully used in sentiment analysis tasks. Moreover, the sentiment analysis task can b...
作者:Mohammad Soleymani , David Garcia , Brendan Jou ...
来源:[J].Image and Vision Computing(IF 1.959), 2017
摘要:Abstract(#br)Sentiment analysis aims to automatically uncover the underlying attitude that we hold towards an entity. The aggregation of these sentiment over a population represents opinion polling and has numerous applications. Current text-based sentiment analysis rely on th...

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