A comparative study on word embedding techniques for suicide prediction on COVID-19 tweets using deep learning models
R Kancharapu, SN A Ayyagari - International Journal of Information …, 2023 - Springer
COVID-19 caused a pathetic situation worldwide which led to public health crises, economic
crises, employment losses, and mental anxiety. Social media websites are being inundated …
crises, employment losses, and mental anxiety. Social media websites are being inundated …
Lexeme connexion measure of cohesive lexical ambiguity revealing factor: a robust approach for word sense disambiguation of Bengali text
Word sense disambiguation (WSD) is the process of finding out the appropriate meaning of
a polysemous word based on any given context. The Bengali language inherently …
a polysemous word based on any given context. The Bengali language inherently …
[PDF][PDF] Supervised word sense disambiguation with recurrent neural network model
Disambiguating words is a branch of artificial intelligence that deals with natural language
processing. The dissatisfaction of the motive of the word deals with the polysemy of the …
processing. The dissatisfaction of the motive of the word deals with the polysemy of the …
Word sense disambiguation using WordNet lexical categories
K Samhith, SA Tilak, G Panda - 2016 International Conference …, 2016 - ieeexplore.ieee.org
In this paper a methodology for disambiguating the word senses of polysemous words using
Lexical Categories present in WordNet is presented. WordNet is a commonly used English …
Lexical Categories present in WordNet is presented. WordNet is a commonly used English …
[PDF][PDF] Enhanced word sense disambiguation algorithm for Afaan Oromoo
AA Abafogi - International Journal of Information Engineering and …, 2023 - mecs-press.org
In various circumstances, the same word can mean differently based on the usage of the
word in a particular sentence. The aim of word sense disambiguation (WSD) is to precisely …
word in a particular sentence. The aim of word sense disambiguation (WSD) is to precisely …
A detailed analysis of word sense disambiguation algorithms and approaches for indian languages
AS Maurya, P Bahadur - Proceedings of Second Doctoral Symposium on …, 2022 - Springer
Word sense disambiguation (WSD) could be a difficult exploration-research issue in
computational etymology that was perceived toward the commencement of the exact interest …
computational etymology that was perceived toward the commencement of the exact interest …
An adaptive algorithm for polysemous words in natural language processing
In this research article the supervised adaptive approach for word sense disambiguation is
discussed. The most critical and identified problem of natural language understanding is the …
discussed. The most critical and identified problem of natural language understanding is the …
Approach toward word sense disambiguation for the english-to-sanskrit language using naïve bayesian classification
AS Maurya, P Bahadur, S Garg - Proceedings of Third Doctoral …, 2022 - Springer
Natural language processing (NLP) refers to the ability of a computer program capacity to
understand both spoken and written human languages. Word Sense Disambiguation (WSD) …
understand both spoken and written human languages. Word Sense Disambiguation (WSD) …
An adaptive algorithm for lexical ambiguity in word sense disambiguation
The lexical ambiguity in word sense disambiguation is a crucial problem in the fields of
machine translation and information retrieval. The lexical ambiguity causes because of …
machine translation and information retrieval. The lexical ambiguity causes because of …
Normalized Statistical Algorithm for Afaan Oromo Word Sense Disambiguation
AA Abafogi - International Journal of Intelligent Systems and …, 2021 - search.proquest.com
Abstract Language is the main means of communication used by human. In various
situations, the same word can mean differently based on the usage of the word in a …
situations, the same word can mean differently based on the usage of the word in a …