Results 81 to 90 of about 1,654 (258)

SASLS: Semantic analysis of sentiment in social networks using Lexicon-Based methodology and Semi-Supervised sentiment annotation

Ain Shams Engineering Journal
Sentiment analysis has emerged as a prominent topic of research within the domain of natural language processing. The advancement of sentiment analysis techniques, particularly those based on dictionaries, has facilitated deeper insights into the ...
Haozhi Liu, Amin Hosseini
doaj   +1 more source

Evaluation of potential features present in short texts in spanish in order to classify them by polarity

Káñina, 2017
This work describes the identification and evaluation process of potential text markers for sentiment analysis. The evaluation of the markers and their use as part of the feature extraction process from plain text that is needed for sentiment analysis ...
Édgar Casasola Murillo, Antonio Leoni de León, Gabriela Marín Raventós   +2 more
doaj   +1 more source

Digital and Gender Attributes of IC in Sustainability Reporting of Italian Firms

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Italian listed enterprises increasingly rely on intellectual capital (IC) to enhance competitiveness and sustainability performance. As IC, comprising human, structural, and relational capital, is rarely recognised in financial statements due to the lack of standardised frameworks, its disclosure has gained relevance in sustainability ...
Alessandra Buonasera, Simona Catuogno
wiley   +1 more source

Death of the Dictionary? - The Rise of Zero-Shot Sentiment Classification. [PDF]

, 2023
In our study, we conduct a comparative analysis between dictionary-based sentiment analysis and entailment zero-shot text classification for German sentiment analysis. We evaluate the performance of a selection of dictionaries on eleven data sets, including four domain-specific data sets with a focus on historic German language. Our results demonstrate
Borst, Janos, Burghardt, Manuel, Klähn, Jannis   +2 more
openaire   +1 more source

Combating ESG Greenwashing Through AI Models: Evidence From Disaggregated AI Technologies, Mechanisms, and Thresholds

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study examines how artificial intelligence language models influence corporate environmental, social, and governance greenwashing (GWESG$$ {\mathrm{GW}}_{\mathrm{ESG}} $$) behavior, utilizing panel data from Chinese listed firms spanning 2012–2022.
Brahim Bergougui, Hamid Ghazi H. Sulimany, Abdulrahman Atllah Alharbi   +2 more
wiley   +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

Mapping Corporate Environment, Social, and Governance Discourses: Analysis of Korean Companies' Sustainability Reports (2014–2024)

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Corporations increasingly use Environmental, Social, and Governance (ESG) reports to articulate their commitments, priorities, and performance in sustainability governance. This study examines how Korean firms have configured and reconfigured their sustainability discourses across industries and time using 634 sustainability reports (2014–2024)
Taedong Lee, Sinjae Kang, Dian Wahyu Utami, Bohae Na   +3 more
wiley   +1 more source

The analysis of news messages of the RF Ministry of Foreign Affairs web-site by the sentiment-analysis (Article 2)

RUDN Journal of Language Studies, Semiotics and Semantics, 2016
Text sentiment-analysis represents one of the most actual and modern problems of the applied linguistics. The sentimant-analysis, being one of formal methods of the text analysis the, allows to estimate, on the one hand, emotional tone of the text, and ...
M V Belyakov
doaj  

Defining the pollinator garden: is conceptual flexibility a feature or a bug?

Frontiers in Ecology and the Environment, EarlyView.
Ecologists often aim to reduce conceptual ambiguity by attempting to create rigid shared lexicons. These efforts imply that ambiguity is undesirable. In some contexts, however, conceptual flexibility comes with under‐discussed benefits. Here, we use the lens of pollinator gardening to explore how conceptual flexibility is built into participatory ...
Atticus W Murphy, Nicholas N Dorian, Emily Minor, Paul J CaraDonna, Sean R Griffin, Heather Holm, Amy M Iler, Gwen E Kirschke, J Scott MacIvor, Katherine R Urban‐Mead, Elsa Youngsteadt, Elizabeth E Crone   +11 more
wiley   +1 more source

Construction and implementation of knowledge enhancement pre-trained language model for text sentiment analysis

Systems and Soft Computing
With the in-depth development of natural language processing technology, text sentiment analysis has shown great potential in public opinion monitoring, market analysis and other fields.
Lan Cui
doaj   +1 more source