Results 51 to 60 of about 142,696 (248)

Beyond the ESG Facade: Measuring and Addressing Corporate ‘Lip Service’

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT Amid growing global attention to environmental, social and governance (ESG), this study examines the misalignment between ESG disclosures and actual practices—termed ‘lip service’—using data from Chinese firms from 2006 to 2022, constructing an index to quantify it.
Jia Xu, Mingwei Liu, Helen X. H. Bao
wiley   +1 more source

Results of using KNN with TF-IDF, TFPOS-IDF, W2V-TFPOSIDF for the Yahya et al. (2012) dataset.

open access: yes, 2020
Results of using KNN with TF-IDF, TFPOS-IDF, W2V-TFPOSIDF for the Yahya et al. (2012) dataset.
Nazlia Omar (801714)   +1 more
core   +1 more source

Bridging Academic Research and Business Practices at the Crossroad of Circular Economy and the SDGs

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT The global shift toward sustainability has amplified interest in the Circular Economy, which aims to optimize resource use and minimize waste. In parallel, the Sustainable Development Goals (SDGs) provide a universal framework for addressing social, environmental, and economic challenges.
Corentin Juin, Andrea Nicolodi
wiley   +1 more source

Comparative Study among Term Frequency-Inverse Document Frequency and Count Vectorizer towards K Nearest Neighbor and Decision Tree Classifiers for Text Dataset

open access: yesNepal Journal of Multidisciplinary Research
Background: Text classification techniques are increasingly important with the exponential growth of textual data on the internet. Term Frequency-Inverse Document Frequency (TF-IDF) and Count Vectorizer(CV) are commonly used methods for feature ...
Tula Kanta Deo   +2 more
doaj   +1 more source

Aspect-Based Sentiment Analysis for Afaan Oromoo Movie Reviews Using Machine Learning Techniques

open access: yesApplied Computational Intelligence and Soft Computing, 2023
Aspect-based sentiment analysis (ABSA) is the subfield of natural language processing that deals with essentially splitting data into aspects and finally extracting the sentiment polarity as positive, negative, or neutral.
Obsa Gelchu Horsa, Kula Kekeba Tune
doaj   +1 more source

When Collaboration Bridges or Breaks: A Systematic Review of Emerging Trends in Supply Chain Resilience and Sustainability

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT Widespread digital adoption has challenged our understanding of how these tools reshape collaboration, trust and sustainability outcomes across different institutional and network contexts. As networks now pursue resilience and sustainable development in parallel, we map emerging research directions and identify how collaboration and ...
Ari Carisza Graha Prasetia   +1 more
wiley   +1 more source

Performance comparison of TF-IDF and Word2Vec models for emotion text classification [PDF]

open access: yes, 2021
Emotion is the human feeling when communicating with other humans or reaction to everyday events. Emotion classification is needed to recognize human emotions from text.
Denis Eka Cahyani   +3 more
core   +1 more source

CEO Managerial Ability and the Strategic Repetition of Climate Disclosures

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT This study examines whether CEO managerial ability shapes the repetition of firms' climate‐related disclosures in mandatory 10‐K filings. Climate reporting is highly judgment based and central to firms' broader climate‐risk management strategies, yet little is known about why some firms repeatedly use similar climate narratives and others ...
Javad Rajabalizadeh
wiley   +1 more source

Visualisation of TF-IDF kmers for BRCA 1.

open access: yes, 2022
Visualisation of TF-IDF kmers for BRCA 1.
Darlington Mapiye (2833889)   +4 more
core   +1 more source

Research on the TF–IDF algorithm combined with semantics for automatic extraction of keywords from network news texts

open access: yesJournal of Intelligent Systems
As the number of online news texts continues to increase, the algorithm of automatic keyword extraction becomes a key content in facilitating users’ fast access to the desired content.
Wang Yan
doaj   +1 more source

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