Results 71 to 80 of about 136,207 (260)

Public Emotions and Climate Change Awareness: Understanding Shifting Perceptions for Sustainable Futures

Business Strategy and the Environment, EarlyView.
ABSTRACT Understanding the evolving emotional landscape surrounding climate change is critical for developing effective environmental strategies and communication. This study offers an analysis of public emotions toward human‐induced climate change by leveraging big data analytics and machine learning techniques on social media content from platform X.
Qingfeng Tian, Gorkem Sarp, Narges Siamian, Farid Shirazi, Tahir M. Nisar, Nick Hajli   +5 more
wiley   +1 more source

Application of an Improved TF-IDF Method in Literary Text Classification

Advances in Multimedia, 2022
Literature is extremely important in the advancement of human civilization. Every day, many literary texts of various genres are produced, dating back to ancient times.
Lin Xiang
doaj   +1 more source

The Language of Greenwashing: SDG Omission and Opportunity‐Oriented Environmental Tone as Alert Metrics in Green Bond Disclosures

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Green bonds play a central role in sustainable finance, yet concerns about greenwashing raise questions about the credibility of issuers' sustainability disclosures. Using dictionary‐based methods and domain‐specific BERT transformer models, this paper proposes two greenwashing alert metrics and investigates their performance by analyzing ...
Andrea Nicolodi, Sandra Paterlini, Monica Gentile, Vincenzo Foglia Manzillo, Gianluca Vittorioso   +4 more
wiley   +1 more source

Penerapan Analisis Sentimen pada Pengguna Twitter Menggunakan Metode K-Nearest Neighbor

JISKA (Jurnal Informatika Sunan Kalijaga), 2018
This research is made to implement the KNN (K-Nearest Neighbor) algorithm for sentiment analysis Twitter about Jakarta Governor Election 2017. The object is 2000 data tweets in Indonesia collected from Twitter during Januari 2017 using Python package ...
Akhmad Deviyanto, Muhammad Didik Rohmad Wahyudi   +1 more
doaj   +1 more source

Family Control and Ownership, Corporate Culture, and ESG Performance in Thailand

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Motivated by the growing importance of environmental, social, and governance (ESG) performance in emerging markets, we examine how family control and ownership, together with corporate culture, influence the ESG performance of publicly listed firms in Thailand.
Sirimon Treepongkaruna, Stefano Starita, Kam Fong Chan   +2 more
wiley   +1 more source

Talk or Walk: Evidence on the Impact of Green Reporting on Corporate Green Growth

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study presents novel insights on modeling whether green reporting is merely talk or effectively drives corporate green growth, which is an essential factor for sustainable development and addressing environmental and climate‐related challenges.
Shengying Shi, Hamdan Al‐Jaifi
wiley   +1 more source

From Dictionaries to Deep Learning: A Systematic Mapping Review of the Natural Language Processing Tasks Used to Analyze Sustainability Reports

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study aims at shedding light on the vast landscape of natural language processing (NLP) tasks used when analyzing sustainability reports or sustainability within integrated annual reports. A systematic literature review is carried out, identifying 160 studies of relevance.
Hannes Cordes
wiley   +1 more source

Comparison of Feature Extraction in Support Vector Machine (SVM) Based Sentiment Analysis System

Jurnal Ilmiah Kursor: Menuju Solusi Teknologi Informasi
Sentiment analysis plays a crucial role in natural language processing by identifying and categorizing opinions or emotions conveyed in textual data.
Imam Fahrur Rozi, Irma Maulidia, Mamluatul Hani’ah, Rakhmat Arianto, Dika Rizky Yunianto, Ahmadi Yuli Ananta   +5 more
doaj   +1 more source

Alternative Data for Realised Volatility Forecasting: Limit Order Book and News Stories

International Journal of Finance &Economics, EarlyView.
ABSTRACT We examine whether two major alternative data sources, limit order book information and firm‐specific news, provide incremental predictive information for daily realised volatility forecasting within the HAR‐family, using a parsimonious framework to ensure practical implementation and comparability. The framework is designed for practical real‐
Eghbal Rahimikia, Ser‐Huang Poon
wiley   +1 more source

Penerapan Metode TF-IDF Dalam Sistem Informasi Digital Marketing Pada UMKM Bismillah Outlet Hijab

Jurnal Teknologi dan Sistem Informasi
Pemanfaatan digital marketing menjadi kebutuhan penting bagi UMKM untuk meningkatkan efektivitas promosi dan memperluas jangkauan pasar. Namun, UMKM Bismillah Outlet Hijab masih menghadapi kendala dalam pengelolaan data produk serta penentuan kata kunci
Rani Ramadhani, Suendri Suendri
doaj   +1 more source