E-ISSN 3041-4849
 

Review Article
Online Published: 22 Dec 2024
 


Word Representation Techniques in Natural Language Processing

Laaroussi Houria, Guerouate Fatima, Sbihi Mohamed.


Abstract
Word representation has been a crucial topic for natural language processing (NLP). It converts textual data into numerical vectors with efficiency and it is essential to comprehend such complicated text data because it is full with information and has a wide range of uses. Moreover, different machine learning (ML) methods can make use of these representations for a variety of NLP applications. This study offers an understanding of the basic word representation models. It also presents the advantages and limitations of each particular model and how they affect the final result. This paper examines the key advancements and milestones achieved in the domain of NLP, enabling readers to gain a deeper comprehension of the NLP and inspire them to learn more about it.

Key words: NLP, Word Representation, Classical Approaches, Statistic Word Embeddings, Contextual Embedding models.


 
ARTICLE TOOLS
Abstract
PDF Fulltext
How to cite this articleHow to cite this article
Citation Tools
Related Records
 Articles by Laaroussi Houria
Articles by Guerouate Fatima
Articles by Sbihi Mohamed
on Google
on Google Scholar


How to Cite this Article
Pubmed Style

Houria L, Fatima G, Mohamed S. Word Representation Techniques in Natural Language Processing. J Comp Sci Informatics. 2025; 2(1): 1-14. doi:10.5455/JCSI.20240926110512


Web Style

Houria L, Fatima G, Mohamed S. Word Representation Techniques in Natural Language Processing. https://www.wisdomgale.com/jcsi/?mno=222107 [Access: January 03, 2025]. doi:10.5455/JCSI.20240926110512


AMA (American Medical Association) Style

Houria L, Fatima G, Mohamed S. Word Representation Techniques in Natural Language Processing. J Comp Sci Informatics. 2025; 2(1): 1-14. doi:10.5455/JCSI.20240926110512



Vancouver/ICMJE Style

Houria L, Fatima G, Mohamed S. Word Representation Techniques in Natural Language Processing. J Comp Sci Informatics. (2025), [cited January 03, 2025]; 2(1): 1-14. doi:10.5455/JCSI.20240926110512



Harvard Style

Houria, L., Fatima, . G. & Mohamed, . S. (2025) Word Representation Techniques in Natural Language Processing. J Comp Sci Informatics, 2 (1), 1-14. doi:10.5455/JCSI.20240926110512



Turabian Style

Houria, Laaroussi, Guerouate Fatima, and Sbihi Mohamed. 2025. Word Representation Techniques in Natural Language Processing. Journal of Computer Sciences and Informatics, 2 (1), 1-14. doi:10.5455/JCSI.20240926110512



Chicago Style

Houria, Laaroussi, Guerouate Fatima, and Sbihi Mohamed. "Word Representation Techniques in Natural Language Processing." Journal of Computer Sciences and Informatics 2 (2025), 1-14. doi:10.5455/JCSI.20240926110512



MLA (The Modern Language Association) Style

Houria, Laaroussi, Guerouate Fatima, and Sbihi Mohamed. "Word Representation Techniques in Natural Language Processing." Journal of Computer Sciences and Informatics 2.1 (2025), 1-14. Print. doi:10.5455/JCSI.20240926110512



APA (American Psychological Association) Style

Houria, L., Fatima, . G. & Mohamed, . S. (2025) Word Representation Techniques in Natural Language Processing. Journal of Computer Sciences and Informatics, 2 (1), 1-14. doi:10.5455/JCSI.20240926110512