Results 101 to 110 of about 4,321 (229)
Text Mining in Bibliometrics and Science Mapping: A Methodological Review
WIREs Computational Statistics, Volume 18, Issue 2, June 2026.Text mining has become a foundational component of contemporary bibliometrics and science mapping, enabling systematic analysis of the semantic structure, thematic evolution, and cognitive organization of scientific fields. Integrating textual evidence with relational indicators enriches knowledge maps and supports more comprehensive, content‐sensitive
Michelangelo Misuraca
wiley +1 more source
A Probabilistic Greedy Attempt to Be Fair in Neural Team Recommendation
Computational Intelligence, Volume 42, Issue 3, June 2026.ABSTRACT Neural team recommendation has brought state‐of‐the‐art efficacy while enhancing efficiency at forming teams of experts whose success in completing complex tasks is almost surely guaranteed. However, they overlook fairness, that is, predicted teams are heavily biased toward popular and male experts, falling short of recommending female or ...
Hamed Loghmani +4 more
wiley +1 more source
Simple data-driven context-sensitive lemmatization [PDF]
, 2006 Lemmatization for languages with rich inflectional morphology is one of the basic, indispensable steps in a language processing pipeline. In this paper we present a simple data-driven context-sensitive approach to lemmatizating word forms in running text.
Chrupała, Grzegorz
core
New Heuristics for Stable LDA Parameter Search
Computational Intelligence, Volume 42, Issue 3, June 2026.ABSTRACT The Latent Dirichlet Allocation (LDA) algorithm automatically extracts latent topics from a textual corpus, but configuring its parameters can be difficult and time‐consuming. Optimization algorithms can help determine the best parameters, but not necessarily the optimal ones.
Simon‐Olivier Harel +2 more
wiley +1 more source
Expert Systems, Volume 43, Issue 6, June 2026.ABSTRACT Ultra‐short pulse (USP) laser micromachining is a key technology for sustainable manufacturing, offering high precision and minimal thermal damage across a wide range of materials. To enable its effective deployment in industrial environments, it is essential to develop monitoring systems capable of accurately predicting surface roughness at ...
Miguel Camacho‐Sánchez +6 more
wiley +1 more source
Advanced and issues in the lemmatization of olf english verbs on a lexical database
, 2015 The aim of this article is to discuss the advances already made as well as the issues that have arisen in the process of lemmatization of Old English weak verbs on a lexical database.
Tío Sáenz, Marta
core
How to Lemmatize German Words with NLP-Spacy Lemmatizer?
Advances in Social Science, Education and Humanities Research, 2021 null Darni +4 more
openaire +1 more source
Fairness at Risk: Where Bias Emerges in Machine Learning
Expert Systems, Volume 43, Issue 6, June 2026.ABSTRACT Artificial intelligence and machine learning (ML) now shape decisions in healthcare, finance and security, but they can reproduce historical prejudice and inequality. Bias in training data and in model implementation can amplify harm, especially for racial and gender minorities.
Otavio de Paula Albuquerque +2 more
wiley +1 more source
FinnPos : an open-source morphological tagging and lemmatization toolkit for Finnish
, 2016 This paper describes FinnPos, an open-source morphological tagging and lemmatization toolkit for Finnish. The morphological tagging model is based on the averaged structured perceptron classifier.
Linden, Krister +3 more
core +1 more source
Narratives Contextualizing Numeric Disclosures: Insights From Earnings Calls
Journal of Business Finance &Accounting, Volume 53, Issue 3, Page 1263-1286, June 2026.ABSTRACT We investigate how narrative disclosures during earnings conference calls (ECCs) provide context for quantitative numeric disclosures in quarterly earnings releases, enhancing their informativeness. Drawing on a large sample of 34,918 quarterly ECCs from 1621 US‐listed firms from 2007 to 2020, we extract interpretable textual attributes—such ...
Imelda Taraj, Ranik Raaen Wahlstrøm
wiley +1 more source