Multi-objective evolutionary optimization for dimensionality reduction of texts represented by synsets [PDF]
PeerJ Computer Science, 2023 Despite new developments in machine learning classification techniques, improving the accuracy of spam filtering is a difficult task due to linguistic phenomena that limit its effectiveness.
Iñaki Vélez de Mendizabal +5 more
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Synset2Node: A new synset embedding based upon graph embeddings
Intelligent Systems With Applications, 2023 Due to the advances made in recent years, embedding methods caused a significant increase in the accuracy of text or graph processing methods. Embedding methods exhibit a compact vector representation of the basic elements (words, synsets, nodes,..) of ...
Fatemeh Jafarinejad
exaly +3 more sources
Synset geometry structure model
Transactions of the Karelian Research Centre of the Russian Academy of Sciences, 2016 The goal of formalization, proposed in this paper, is to bring together, as near as possible, the theoretic linguistic problem of synonym conception and the computer linguistic methods based generally on empirical intuitive unjustified factors. Using the
Alexander Kirillov, Andrew Krizhanovsky
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The natural selection of words: Finding the features of fitness. [PDF]
PLoS ONE, 2019 We introduce a dataset for studying the evolution of words, constructed from WordNet and the Google Books Ngram Corpus. The dataset tracks the evolution of 4,000 synonym sets (synsets), containing 9,000 English words, from 1800 AD to 2000 AD.
Peter D Turney, Saif M Mohammad
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Sentiment Thesaurus, Synset and Word2Vec Based Improvement in Bigram Model for Classifying Product Reviews [PDF]
SN Computer Science, 2022 Poomagal S +4 more
exaly +2 more sources
From Human Child to Grey Parrot: Exploring a Common Model of Word Meaning Extension Across Species. [PDF]
Cogn SciAbstract Word meaning extension refers to the process by which a single word form develops multiple related meanings. Prior studies demonstrate that meaning extension at diverse timescales, from decades‐long historical change and to month‐long changes in child overextension, is accounted for by models grounded in conceptual relations across knowledge ...
Fishkin M, Chang S, Xu Y.
europepmc +2 more sources
Sentiment Analysis of Image with Text Caption using Deep Learning Techniques. [PDF]
Comput Intell Neurosci, 2022 People are actively expressing their views and opinions via the use of visual pictures and text captions on social media platforms, rather than just publishing them in plain text as a consequence of technical improvements in this field. With the advent of visual media such as images, videos, and GIFs, research on the subject of sentiment analysis has ...
Chaubey PK +7 more
europepmc +2 more sources
Automatically constructing Wordnet Synsets [PDF]
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2014 6 ...
Khang Nhut Lam +2 more
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Automatic Construction of Persian ICT WordNet using Princeton WordNet [PDF]
Journal of Artificial Intelligence and Data Mining, 2019 WordNet is a large lexical database of English language, in which, nouns, verbs, adjectives, and adverbs are grouped into sets of cognitive synonyms (synsets). Each synset expresses a distinct concept. Synsets are interlinked by both semantic and lexical
A. Ahmadi Tameh +2 more
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Analytic Hierarchy Process with the Correlation Effect via WordNet
Mathematics, 2021 The analytic hierarchy process (AHP) is a well-known approach in decision-making because of its simplicity and rationality. However, in conventional AHP, it cannot account for the correlation effect between criteria.
Jih-Jeng Huang
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