Results 41 to 50 of about 4,438 (260)
Discrete Dynamics in Nature and Society, 2022 This study combines a financial knowledge dictionary and pretraining method based on BERT (Bidirectional Encoder Representation from Transformers) to construct a deep learning model for identifying stock news sentiments.
Shuyi Li, Junhao Kong
doaj +1 more source
From Ecosystem Threats to Balance Sheets: Biodiversity Risks Exposure and Corporate Cash Policies
Business Strategy and the Environment, EarlyView.ABSTRACT This study investigates how firms strategically respond to biodiversity risk by examining their cash holding decisions. Using firm‐level data from China, we find that firm‐level biodiversity risk exposure significantly increases corporate cash holdings.
Jing Hao +4 more
wiley +1 more source
Harnessing Generative AI for Sustainable Supply Chains: Lean, Circular and Green Perspectives
Business Strategy and the Environment, EarlyView.ABSTRACT Generative artificial intelligence is playing a significant role in the transformation of digital ecosystems by reinventing the processes of content generation, process automation, product innovation and customer experience. At the same time that these technologies are becoming more integrated into routine operations, the focus has shifted to ...
Ashutosh Singh +3 more
wiley +1 more source
Weibo Text Sentiment Analysis Based on BERT and Deep Learning
Applied Sciences, 2021 With the rapid increase of public opinion data, the technology of Weibo text sentiment analysis plays a more and more significant role in monitoring network public opinion.
Hongchan Li +3 more
doaj +1 more source
Business Strategy and the Environment, EarlyView.ABSTRACT Collaborations with nonprofits can enhance firms' legitimacy, yet the relationship between their communication and corporate environmental legitimacy remains poorly understood. Furthermore, research lacks an analysis of the communication of business‐nonprofit collaborations through multiple actors' perspectives.
Andrea Rizzuni +3 more
wiley +1 more source
Research on text sentiment classification based on improved feature selection method
Dianxin kexue, 2018 An improved information gain feature selection method based on sentiment dictionary was proposed.Firstly,aiming at the existing problems of information gain feature selection,such as paying attention to the frequency of feature word and ignoring the ...
Mingxin LIU, Jing CHEN, Qiyuan WANG
doaj +2 more sources
Business Strategy and the Environment, EarlyView.ABSTRACT Environmentally oriented ventures pursue a dual mission: to create both environmental and financial value. This dual mission adds complexity and can influence ventures' funding prospects, as investors mostly pursue financial motivations.
David Flore +2 more
wiley +1 more source
Research on Sentiment Analysis of Online Public Opinion Based on RoBERTa–BiLSTM–Attention Model
Applied SciencesPublic opinion comments are important for the public to express their emotions and demands. Accordingly, identifying the public emotions contained in comments and taking corresponding countermeasures according to the changes in the emotions are of great ...
Jiangao Deng, Yue Liu
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Dictionary Based Amharic Sentiment Lexicon Generation
, 2019 This lexicon is automatically generated from English SWN 3.0 by using Amharic-English dictionary. Though it saves time and human effort, it needs more expertise to enhance its quality! Thus, you can use it responsibly about its accuracy and reliability!
Alemneh, Girma Neshir +2 more
openaire +1 more source
Business Strategy and the Environment, EarlyView.ABSTRACT The transition to a circular economy (CE) has become a strategic priority for firms, yet empirical assessments of corporate circularity remain fragmented and heavily dependent on structured indicators or self‐reported metrics. This paper proposes a novel, text‐based circularity index derived from mandatory non‐financial statements of large ...
Giuseppe Pernagallo +2 more
wiley +1 more source