Results 111 to 120 of about 10,729 (237)
NCHLT Sepedi word2vec-Skipgram embeddings
, 2023 Static word embeddings for the Skipgram flavour of the word2vec (w2v) architecture (Mikolov et al., 2013).
Roald Eiselen
core
Paraphrasensuche mittels word2vec und der Word Mover’s Distance im Altgriechischen
Digital Classics Online, 2017 To find receptions of Plato‘s work within the ancient Greek literature, automatic methods would be a useful assistance. Unfortunately, such methods are often knowledge-based and thus restricted to extensively annotated texts, which are not available to a
Marcus Pöckelmann +3 more
doaj +1 more source
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
Machine learning (Word2vec + PAM clustering) accuracy.
, 2019 Machine learning (Word2vec + PAM clustering) accuracy.
Yujin Jeong (571044) +3 more
core +1 more source
Large Language Models for Explainable Medical Text Summarization: A Systematic Literature Review
WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 2, June 2026.The graphical abstract highlights the three key aspects addressed in this review: the technical background of medical text summarization methods relevant to clinical decision support; the LLM background in providing context for its diagnosis and clinical significance; and clinical decision support with summarization and explainability in patient care ...
Aleka Melese Ayalew +3 more
wiley +1 more source
Hyperparameters in predictive model (Word2vec-based).
, 2018 Hyperparameters in predictive model (Word2vec-based).
Takamichi Nakamoto (3165207) +1 more
core +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
NCHLT isiNdebele word2vec-Skipgram embeddings
, 2023 Static word embeddings for the Skipgram flavour of the word2vec (w2v) architecture (Mikolov et al., 2013).
Roald Eiselen
core
Data Science and Engineering, 2017 With the rapid growth of social media, sentiment analysis has received growing attention from both academic and industrial fields. One line of researches for sentiment analysis is to feed bag-of-words (BOW) text representation into classifiers.
Zhe Zhao +4 more
doaj +1 more source
Speech Neurophysiology in Realistic Contexts: Big Hype or Big Leap?
European Journal of Neuroscience, Volume 63, Issue 12, June 2026.Speech neurophysiology is moving from controlled listening tasks to dynamic, socially rich interactions, challenging traditional methods. This shift promises deeper insights into how the brain processes and represents speech in real‐world contexts, while introducing new analytical complexities.
Giovanni M. Di Liberto, Emily Y. J. Ip
wiley +1 more source