Results 51 to 60 of about 769 (161)

Building an Arabic Sentiment Lexicon Using Semi-supervised Learning

open access: yesJournal of King Saud University: Computer and Information Sciences, 2014
Sentiment analysis is the process of determining a predefined sentiment from text written in a natural language with respect to the entity to which it is referring. A number of lexical resources are available to facilitate this task in English.
Fawaz H.H. Mahyoub   +2 more
doaj   +1 more source

AI‐Cinema: A Hybrid Framework for Arabic Movie Scenario Generation With Traditional Storytelling and Cultural Dialogs

open access: yesComplexity, Volume 2026, Issue 1, 2026.
AI‐Cinema is a hybrid neural‐symbolic framework addressing the critical challenge of preserving cultural authenticity in Arabic movie scenario generation. The framework integrates transformer‐based neural language models (AraT5‐base and AraGPT2‐medium) with symbolic reasoning encoded in OWL‐DL ontologies and SWRL rules to ensure linguistic fluency ...
Mossab Ibrahim   +3 more
wiley   +1 more source

Membangun Synset untuk WordNet Bahasa Indonesia Menggunakan Herarchical Clustering [PDF]

open access: yes, 2019
Akan dibangun sebuah kamus(wordnet) yang merupakan lexical database bahasa Indonesia. Synset merupakan bagian yang dibentuk pada tahap awal pembangunan lexical database.
DESI PURNAMA SARI
core  

Introducing Idioms in the Galician WordNet: Methods, Problems and Results

open access: yesOpen Linguistics, 2016
This study describes the introduction of verbal idioms in the Galician language version (Galnet) of the semantic network WordNet; a network that does not traditionally include many phraseological units.
Álvarez de la Granja María   +2 more
doaj   +1 more source

From Speech Semantics to Brain Activity—Timescales Are Key in Their Information Transfer

open access: yesHuman Brain Mapping, Volume 46, Issue 16, November 2025.
We analyzed sentence similarity (SBERT) and word depth (WordNet) from the HCP 7 T MOVIE2_HO1.mp4 using dynamic ACW analysis. Brain activity in A1, TA2, and PSL regions was similarly analyzed. Transfer Entropy measured the information flow between semantic and brain timescales.
Saket Kumar   +5 more
wiley   +1 more source

Semantics of behavioral dispositions: family resemblance and synsets

open access: yesСемиотические исследования
This article offers an analysis of how dispositional language is used in biology, psychology, and the social sciences. The purpose of the article is to answer, firstly, the question of how dispositions and things similar to them are understood by ...
Andrey E. Serikov
doaj   +1 more source

Multi-Modal Word Synset Induction

open access: yes, 2017
A word in natural language can be polysemous, having multiple meanings, as well as synonymous, meaning the same thing as other words. Word sense induction attempts to find the senses of polysemous words. Synonymy detection attempts to find when two words
Raymond J. Mooney, Jesse Thomason
core   +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

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

A sample of the Test1 vector elements for two of the five words in the rapturous–ecstatic synset.

open access: yes, 2019
A sample of the Test1 vector elements for two of the five words in the rapturous–ecstatic synset.
Peter D. Turney (6270041)   +1 more
core   +1 more source

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