Results 41 to 50 of about 353 (158)
Building an Arabic Sentiment Lexicon Using Semi-supervised Learning
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
Probabilistic SynSet Based Concept Location.
Concept location is a common task in program comprehension techniques, essential in many approaches used for software care and software evolution. An important goal of this process is to discover a mapping between source code and human oriented concepts. Although programs are written in a strict and formal language, natural language terms and sentences
Nuno Ramos Carvalho +3 more
openaire +5 more sources
From Speech Semantics to Brain Activity—Timescales Are Key in Their Information Transfer
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
Introducing Idioms in the Galician WordNet: Methods, Problems and Results
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
Semantics of behavioral dispositions: family resemblance and synsets
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
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
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
This article provides examples of ontology development in the materials science domain (use‐case of Brinell hardness testing) and gives ontology developers an overview for selecting their desired top‐level ontologies (e.g., BFO, EMMO, PROVO) by considering different evaluation parameters like semantic richness, domain coverage, extensibility ...
Hossein Beygi Nasrabadi +3 more
wiley +1 more source
The price impact of tweets: A high‐frequency study
Abstract We examine the mechanism by which social media sentiment affects stock prices. Specifically, we assess the impact of Twitter feeds on stock returns at the intraday level. We find that an increase in buyer‐initiated trades has a significantly positive price impact.
Ni Yang +2 more
wiley +1 more source
Looking at the Multiple Meanings of Numeracy, Quantitative Literacy, and Quantitative Reasoning
The subject of this journal goes by a variety of names: numeracy, quantitative literacy, and quantitative reasoning. Some authors use the terms interchangeably. Others see distinctions between them. Study of psycholinguistic and ontological concepts laid
H.L. Vacher
doaj +1 more source

