Results 41 to 50 of about 893,611 (240)

Agentic AI and Circular Procurement Performance: An Empirical Study

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT Organizations that practice circular procurement in this rapidly changing world face many uncertainties. However, emerging digital technologies, such as agentic AI, can help manage resources and improve responsiveness to better serve both internal and external customers.
Surajit Bag   +3 more
wiley   +1 more source

Predicting Influential Blogger’s by a Novel, Hybrid and Optimized Case Based Reasoning Approach With Balanced Random Forest Using Imbalanced Data

open access: yesIEEE Access, 2021
Bloggers possess the capability of understanding and influencing mass psychology to a wide community of fans and followers by posting their online valuable content.
Yousra Asim   +4 more
doaj   +1 more source

Signalling ESG Misconduct: What Matters to Investors?

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT We investigate what matters most to investors when environmental, social and governance (ESG)‐related corporate misconduct news is signalled and how these factors influence the magnitude of market value punishment. Using an event study on 44,859 corporate news items related to ESG incidents, we find that investors react negatively to such ...
Dewan Muktadir‐Al‐Mukit
wiley   +1 more source

Text vectorization in sentiment analysis: A comparative study of TF-IDF and Word2Vec from Amazon Fine Food Reviews [PDF]

open access: yesITM Web of Conferences
Sentiment analysis is a practical tool for marketing and branding teams. Companies can collect and analyze opinions or reviews from social media platforms, blog posts, and other numerous forums.
Lu Jiaxin
doaj   +1 more source

Text Mining of Open-Ended Questions in Self-Assessment of University Teachers: An LDA Topic Modeling Approach

open access: yesIEEE Access, 2020
The large amount of text that is generated daily on the web through comments on social networks, blog posts and open-ended question surveys, among others, demonstrates that text data is used frequently, and therefore; its processing becomes a challenge ...
Diego Buenano-Fernandez   +3 more
doaj   +1 more source

Greenwashing in the Spotlight: Synthesising Evidence on Unethical Environmental Claims and Future Pathways

open access: yesCorporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Firms are experiencing mounting pressure to report their environmental impact. Rather than disclosing their actual performance, however, some are engaging in unethical business (i.e., greenwashing) practices. Prior studies have contributed significantly to the greenwashing literature from varied perspectives, but a comprehensive understanding ...
Sher Jahan Khan   +4 more
wiley   +1 more source

Opinion mining method on hot topic of micro−blog

open access: yesTongxin xuebao, 2014
A method of opinion mining was argued in connection with hot topic of micro-blog.Firstly,opinion sentences are identified by syntactic dependencies templates and support vector machine (SVM).Secondly,the opinion words can be get in opinion sentences by ...
Guang-lei ZHANG, Ya-bin XU
doaj   +2 more sources

Microblog topic evolution computing based on LDA algorithm

open access: yesOpen Physics, 2018
Research on topic evolution of Microblog is an effective way to analyze network public opinions. This paper proposes a method for mining changing of Microblog topics with time, and realizes topic evolution through topic extraction and topic relevance ...
Jian Feng, Yajiao Wang, Yuanyuan Ding
doaj   +1 more source

"Anyone Know What Species This Is?" - Twitter Conversations as Embryonic Citizen Science Communities. [PDF]

open access: yesPLoS ONE, 2016
Social media like blogs, micro-blogs or social networks are increasingly being investigated and employed to detect and predict trends for not only social and physical phenomena, but also to capture environmental information.
Stefan Daume, Victor Galaz
doaj   +1 more source

Grounding and Operationalising the SYNAPSE Model: Design Principles and Observable Indicators for Human‐Centered, AI‐Augmented Learning

open access: yesFuture in Educational Research, EarlyView.
ABSTRACT This article consolidates and operationalises SYNAPSE, a human‐centered model that structures learning in four interrelated phases—Sensory Input, Network Adaptation, Participation, and Storage & Embodiment—for education in the age of artificial intelligence (AI).
Sarah Chardonnens, Srushti Satoskar
wiley   +1 more source

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