Results 61 to 70 of about 4,868 (229)

Transfer Learning‐Based Automatic Sentiment Annotation of a Twitter‐Based Arabic Mental Illness (AMI) Dataset

open access: yesExpert Systems, Volume 42, Issue 10, October 2025.
ABSTRACT Sentiment analysis, crucial for discerning emotional tones in text, relies on manual annotation to train machine learning models and is considered the gold standard for creating annotated corpora. However, this process is time‐consuming, labour‐intensive, and prone to biases. This paper proposes an automatic annotation approach for the Twitter‐
Arwa Diwali   +6 more
wiley   +1 more source

Lexical platform – the first step towards user-centred integration of lexical resources

open access: yesCognitive Studies | Études cognitives, 2018
Lexical platform – the first step towards user-centred integration of lexical resources Lexical platform – the first step towards user-centred integration of lexical resources The paper describes the Lexical Platform - a means for lightweight ...
Maciej Piasecki   +3 more
doaj   +1 more source

As Wordnets do Português

open access: yesOslo Studies in Language, 2015
Not many years ago it was usual to comment on the lack of an open lexical-semantic knowledge base, following the lines of Princeton WordNet, but for Portuguese. Today, the landscape has changed significantly, and researchers that need access to this specific kind of resource have not one, but several alternatives to choose from.
Hugo Gonçalo Oliveira   +5 more
openaire   +4 more sources

Functional magnetic resonance imaging of taxonomic and thematic processing of abstract and concrete word pairs

open access: yesJournal of Neuropsychology, Volume 19, Issue 3, Page 541-558, September 2025.
Abstract This study used fMRI to examine the effect that the abstract‐concrete dimension may have on the thematic‐taxonomic distinction. The dual hub theory (DHT) posits that left angular gyrus supports thematic relationships and left temporal pole supports taxonomic relationships; however, the DHT is largely based on evidence from concrete words.
Jacquelyn F. Stochel   +1 more
wiley   +1 more source

Increasing the Effectiveness of the Romanian Wordnet in NLP Applications [PDF]

open access: yesComputer Science Journal of Moldova, 2013
The Romanian wordnet is a semantic network under ceaseless enrichment and improvement. Its use in various applications throughout time highlighted the need for further development. In this paper we focus on a question answering scenario.
Verginica Barbu Mititelu
doaj  

Indian Language Wordnets and their Linkages with Princeton WordNet

open access: yes, 2022
Published at LREC ...
Kanojia, Diptesh   +2 more
openaire   +2 more sources

Prerequisite Relations Annotation Tool: Annotation and analysis of educational relations in texts

open access: yesJournal of the Association for Information Science and Technology, Volume 76, Issue 7, Page 1006-1027, July 2025.
Abstract Relations between terms in texts have long been studied in linguistics and specialized knowledge domains, especially when occurring in educational materials like textbooks, where they play a crucial role in guiding instructional design and learning.
Chiara Alzetta, Ilaria Torre
wiley   +1 more source

Polylingual Wordnet

open access: yes, 2019
Princeton WordNet is one of the most important resources for natural language processing, but is only available for English. While it has been translated using the expand approach to many other languages, this is an expensive manual process. Therefore it would be beneficial to have a high-quality automatic translation approach that would support NLP ...
Arcan, Mihael   +2 more
openaire   +2 more sources

Bootstrapping a Portuguese WordNet from Galician, Spanish and English Wordnets [PDF]

open access: yes, 2014
In this article we exploit the possibility on bootstrapping an European Portuguese WordNet from the English, Spanish and Galician wordnets using Probabilistic Translation Dictionaries automatically created from parallel corpora. The process generated a total of 56i¾?770 synsets and 97i¾?058 variants.
Simões, Alberto   +1 more
openaire   +2 more sources

Sentiment Analysis‐Based Model for Monitoring User Engagement With Mental Health Chatbots

open access: yesEngineering Reports, Volume 7, Issue 6, June 2025.
Analyzing 82 102 mental health chatbot reviews, this study found Stochastic Gradient Descent with 93% accuracy as it best classified user sentiment, revealing reliability and content as engagement drivers. Sentiment analysis enhances chatbot design for better mental health support.
Ian Igado Mmbayi   +2 more
wiley   +1 more source

Home - About - Disclaimer - Privacy