Zobrazeno 1 - 10
of 7 141
pro vyhledávání: '"Wordnet"'
Autor:
Jia Xiao
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 5, Pp 6339-6377 (2024)
Abstract This paper proposes a hybrid model to improve Information Content (IC) related metrics of semantic similarity between words, named IC+SP, based on the essential hypothesis that IC and the shortest path are two relatively independent semantic
Externí odkaz:
https://doaj.org/article/8894af24c58748f4ba3b34f11dea163d
Autor:
Petya Osenova, Kiril Simov
Publikováno v:
Digital Presentation and Preservation of Cultural and Scientific Heritage, Vol 14 (2024)
In this paper we present some modifications to and extensions of a Wordnet for Bulgarian designed to make it more appropriate for applications in the area of language learning. However, in order to support education, we need to ensure the appropriate
Externí odkaz:
https://doaj.org/article/5ec5f6e0e0e54652af138214ed3adfe6
Publikováno v:
Journal of Artificial Intelligence and Data Mining, Vol 12, Iss 1, Pp 1-14 (2024)
In the era of pervasive internet use and the dominance of social networks, researchers face significant challenges in Persian text mining, including the scarcity of adequate datasets in Persian and the inefficiency of existing language models. This p
Externí odkaz:
https://doaj.org/article/2246f6dcbe5a462098d9d4ae85a6bdfe
Publikováno v:
University of Chitral Journal of Linguistics and Literature, Vol 8, Iss I, Pp 162-182 (2024)
Saraiki, being the fourth most widely spoken language in Pakistan and being used in some parts of India and Afghanistan, is of significant geographical, historical, and cultural importance. However, it remains neglected in terms of proper documentati
Externí odkaz:
https://doaj.org/article/b3189654843c4ded82a885bc08fd9757
Autor:
Algirdas Laukaitis
Publikováno v:
Applied Sciences, Vol 14, Iss 13, p 5550 (2024)
Word sense disambiguation (WSD) remains a persistent challenge in the natural language processing (NLP) community. While various NLP packages exist, the Lesk algorithm in the NLTK library demonstrates suboptimal accuracy. In this research article, we
Externí odkaz:
https://doaj.org/article/44eb3c0a642645b9989f442a4239f219
Autor:
P. Vijayakumar, G. Jagatheeshkumar
Publikováno v:
Measurement: Sensors, Vol 31, Iss , Pp 100947- (2024)
E-learning is inevitable during these pandemic days and most of the learners find it comfortable to learn online. However, the main challenge is to locate the appropriate data in line with the learner's requirement. Considering the necessity of this
Externí odkaz:
https://doaj.org/article/63c7ff0c0eaf46749cdbc5413cede83b
Autor:
Maher A.Ahmed
Publikováno v:
Wasit Journal for Pure Sciences, Vol 2, Iss 4 (2023)
The efficiency of the Honeywords approach has been proven to be a significant tool for boosting password security. The suggested system utilizes the Meerkat Clan Algorithm (MCA) in conjunction with WordNet to produce honeywords, thereby enhancing the
Externí odkaz:
https://doaj.org/article/334636139f0b47bf86bbc48eb91a3321
Autor:
Nimesh Bali Yadav
Publikováno v:
Human-Centric Intelligent Systems, Vol 3, Iss 2, Pp 57-67 (2023)
Abstract This research paper presents a novel approach for recommending products to customers based on their cared aspects by performing sentiment analysis on customer feedback. The proposed approach utilizes the WordNet database to identify and extr
Externí odkaz:
https://doaj.org/article/1322c0b88f2f49bb8617b4c00490b4d1
Autor:
Arun Kodirekka, Ayyagari Srinagesh
Publikováno v:
Journal of Information Technology Management, Vol 15, Iss Special Issue: Digital Twin Enabled Neural Networks Architecture Management for Sustainable Computing, Pp 150-163 (2023)
Extracting sentiments from the English-Telugu code-mixed data can be challenging and is still a relatively new research area. Data obtained from the Twitter API has to be in English-Telugu code-mixed language. That data is free-form text, noisy, lexi
Externí odkaz:
https://doaj.org/article/cf21fcec12fc47c299be3adadce66f33