Results 41 to 50 of about 50,760 (261)
Text sentiment visual analysis technology and its application in humanities
大数据, 2022 Sentiment analysis is the mining of information sentiment tendency, which is mainly used for public opinion monitoring, commodity review analysis, and information retrieval.With the rapid development of social media, the volume of text data has shown ...
Lingli ZHANG +6 more
doaj
2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014 Social media has become an important information source with the expanding internet and ideas shared by the people. The social media raw data which is quite disordered and messy can not be processed as it is and obtain adequate results. In this study, sentiment analysis has been performed by collecting data from the Twitter. To perform this analysis an
Meric Meral, Banu Diri
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Textual Analysis and Sentiment Analysis in Accounting
Revista de Contabilidad, 2021 A pesar del relativamente escaso uso de técnicas de análisis textual y de análisis del sentimiento en finanzas y contabilidad, éstas tienen un gran potencial en contabilidad, tanto por el elevado volumen de documentos utilizados para la comunicación de información financiera como por el crecimiento en el uso de herramientas digitales y medios de ...
Juan L. Gandía, David Huguet
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A Barrage Sentiment Analysis Scheme Based on Expression and Tone
IEEE Access, 2019 Most of existing methods do not consider the influence of expression and tone on barrage sentiment analysis. This decreases the effect and accuracy of barrage sentiment analysis.
Zongmin Cui +5 more
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Micro-Blog Sentiment Analysis Based on Linguistic Context [PDF]
Jisuanji gongcheng, 2017 Traditional sentiment analysis method only considers a single text,and the recognition rate of sentiment polarity is low when the micro-blog text is short and colloquial.In order to solve this problem,a kind of sentiment analysis method combined with ...
QIN Feng,WANG Heng,ZHENG Xiao,WANG Xiujun
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Challenges and Issues in Sentiment Analysis: A Comprehensive Survey
IEEE Access, 2023 Sentiment analysis, a specialization of natural language processing (NLP), has witnessed significant progress since its emergence in the late 1990s, owing to the swift advances in deep learning techniques and the abundance of vast digital datasets ...
Nilaa Raghunathan +1 more
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Survey on visual sentiment analysis [PDF]
IET Image Processing, 2020 Visual Sentiment Analysis aims to understand how images affect people, in terms of evoked emotions. Although this field is rather new, a broad range of techniques have been developed for various data sources and problems, resulting in a large body of research.
Ortis, Alessandro +2 more
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Improving the performance of lexicon-based review sentiment analysis method by reducing additional introduced sentiment bias. [PDF]
PLoS ONE, 2018 Sentiment analysis is widely studied to extract opinions from user generated content (UGC), and various methods have been proposed in recent literature. However, these methods are likely to introduce sentiment bias, and the classification results tend to
Hongyu Han +4 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Osteosarcoma (OS) and Ewing sarcoma (EWS) are the most common primary bone cancers in children, but acute thrombosis is poorly characterized in this population. Our study evaluated the rates of venous thromboembolism (VTE) and associated risk factors in pediatric patients with bone sarcomas treated over a 10‐year period encompassing
Sarah Kappa +8 more
wiley +1 more source
Sentiment Analysis Is Not Solved! Assessing and Probing Sentiment Classification [PDF]
Proceedings of the 2019 ACL Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP, 2019 Accepted to BlackBoxNLP Workshop at ACL ...
Barnes, Jeremy Claude +2 more
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