Results 51 to 60 of about 4,438 (260)
A stock market trend forecasting method based on stock sentiment analysis
Dianzi Jishu Yingyong, 2019 With the rapid development of Internet applications and the rapid growth of users , the reviews and opinions of stock market largely reflect the quotation of the stock market,simultaneously it affects the ups and downs of the stock market. Therefore, how
Xiao Ting, Lin Ling, Huang Yongfeng
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Decoding Emotional Signatures of Ethical Ads: An Analysis of Actor‐Viewer Synchrony
Journal of Consumer Behaviour, EarlyView.ABSTRACT We examine whether ethical advertisements differ from conventional ads in their on‐screen emotional signatures and whether those signatures transfer to actor‐viewer synchrony. Study 1 analyses 138 professionally produced YouTube ads using Automated Facial Expression Recognition (AFER) and Convolutional Neural Networks (CNN) to quantify actor ...
Vik Naidoo, Nicolas Hamelin
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SentiBERT: Pre-training Language Model Combining Sentiment Information
Jisuanji kexue yu tansuo, 2020 Pre-training language models on large-scale unsupervised corpus are attracting the attention of researchers in the field of natural language processing.
YANG Chen, SONG Xiaoning, SONG Wei
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Journal of Consumer Behaviour, EarlyView.ABSTRACT Grounded in ambivalence theories, this research examined factors shaping consumer ambivalence toward AI‐generated content and investigated differences between commercial and noncommercial contexts. As a preliminary study, sentiment analysis of Reddit data using a support vector machine (SVM) revealed that most consumer sentiment toward AI ...
Garim Lee +3 more
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IEEE Access, 2020 With the increase in traffic accident rates, traffic risk detection is becoming increasingly important. Moreover, it is necessary to provide appropriate traffic information considering user locations and routes and design an analysis method accordingly ...
Min-Jeong Kim +2 more
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Corporate Social Responsibility and Environmental Management, EarlyView.ABSTRACT This study examines the use of environmental disclosure as a strategic tool to manage legitimacy crises in a mining company, adopting critical discourse analysis (CDA) as the main methodology. Focusing on a case of environmental disaster, this research reveals how corporate narratives can be manipulated to minimize responsibility and reinforce
Renata Luiza de Castilho Rossoni +1 more
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A Human-Machine Language Dictionary
International Journal of Computational Intelligence Systems, 2020 In this paper, we propose a framework for building a human-machine language dictionary. Given a concept/word, an application can extract the definition of the concept from the dictionary, and consequently “understand” its meaning.
Fei Liu +2 more
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Dictionary-Based Sentiment Analysis Applied to a Specific Domain [PDF]
, 2017 The web and social media have been growing exponentially in recent years. We now have access to documents bearing opinions expressed on a broad range of topics. This constitutes a rich resource for natural language processing tasks, particularly for sentiment analysis.
Cruz, Laura +3 more
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Polarity Consistency Checking for Domain Independent Sentiment Dictionaries [PDF]
IEEE Transactions on Knowledge and Data Engineering, 2015 Polarity classification of words is important for applications such as Opinion Mining and Sentiment Analysis. A number of sentiment word/sense dictionaries have been manually or (semi)automatically constructed. We notice that these sentiment dictionaries have numerous inaccuracies.
Eduard C. Dragut +4 more
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Corporate Social Responsibility and Environmental Management, EarlyView.ABSTRACT The study examines how narrative disclosure tones (NDTs) and corporate governance mechanisms (CGMs) affect sustainability reporting practices (SRP) in an emerging economy. Data from 125 non‐financial firms in Pakistan, spanning 2011–2022, are utilized. SRP is measured using both GRI and the novel IFRS S1 standards‐based indices. Three NDTs are
Arshad Hasan +2 more
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