Results 51 to 60 of about 14,660 (202)
Political Text Scaling Meets Computational Semantics
, 2021 During the last fifteen years, automatic text scaling has become one of the key tools of the Text as Data community in political science. Prominent text scaling algorithms, however, rely on the assumption that latent positions can be captured just by ...
Glavas, Goran +4 more
core +1 more source
Bridging Academic Research and Business Practices at the Crossroad of Circular Economy and the SDGs
Business 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
Journal of Consumer Behaviour, EarlyView.ABSTRACT Grounded in ambivalence theories, this research examined factors shaping consumer ambivalence toward AI‐generated content and investigated differences between commercial and noncommercial contexts. As a preliminary study, sentiment analysis of Reddit data using a support vector machine (SVM) revealed that most consumer sentiment toward AI ...
Garim Lee +3 more
wiley +1 more source
Identifying e-Commerce in Enterprises by means of Text Mining and Classification Algorithms [PDF]
, 2018 Monitoring specific features of the enterprises, for example, the adoption of e-commerce, is an important and basic task for several economic activities. This type of information is usually obtained by means of surveys, which are costly due to the amount
Bianchi, Gianpiero +2 more
core +1 more source
Developing conceptual glossaries for the Latin vulgate bible. [PDF]
, 2002 A conceptual glossary is a textual reference work that combines the features of a thesaurus and an index verborum. In it, the word occurrences within a given text are classified, disambiguated, and indexed according to their membership of a set of ...
Wilson, Andrew
core +1 more source
A Memory-Based Lemmatizer for Ancient Greek [PDF]
Proceedings of the 2nd International Conference on Digital Access to Textual Cultural Heritage, 2017 In this paper we present the lemmatizer that we developed for Ancient Greek: GLEM. As far as we know, GLEM is the first publicly available lemmatizer for Ancient Greek that uses POS information to disambiguate and that also assigns output to unseen words, words that are not yet in the lexicon.As the basis for the lemmatizer we used an existing memory ...
Corien Bary, Peter Berck, Iris Hendrickx
openaire +2 more sources
Corporate Social Responsibility and Environmental Management, EarlyView.ABSTRACT This study examines the use of environmental disclosure as a strategic tool to manage legitimacy crises in a mining company, adopting critical discourse analysis (CDA) as the main methodology. Focusing on a case of environmental disaster, this research reveals how corporate narratives can be manipulated to minimize responsibility and reinforce
Renata Luiza de Castilho Rossoni +1 more
wiley +1 more source
Advances in the Automatic Lemmatization of Old English: Class IV Strong Verbs (L-Y)
Atlantis, 2023 The morphological features of an inflectional language like Old English (OE), which also presents generalized spelling inconsistencies, limit the use of lemmatizing and tagging tools that can be applied to natural languages. Consequently, the development
Roberto Torre
doaj +1 more source
A Simple Joint Model for Improved Contextual Neural Lemmatization
, 2020 English verbs have multiple forms. For instance, talk may also appear as talks, talked or talking, depending on the context. The NLP task of lemmatization seeks to map these diverse forms back to a canonical one, known as the lemma.
Cotterell, Ryan +2 more
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Lemmatization and lexicalized statistical parsing of morphologically rich languages: the case of French [PDF]
, 2010 This paper shows that training a lexicalized parser on a lemmatized morphologically-rich treebank such as the French Treebank slightly improves parsing results.
Candito, Marie +4 more
core