Exploration of word embeddings with graph-based context adaptation for enhanced word vectors
T Sandhu - 2024 - search.proquest.com
In the aspect of information storage, text assumes a central role, necessitating streamlined
and effective methods for swift retrieval. Among various text representations, the vector form …
and effective methods for swift retrieval. Among various text representations, the vector form …
Analysis comparison of FastText and Word2vec for detecting offensive language
R Lumbantoruan, RU Siregar, I Manik… - … of Computer Science …, 2022 - ieeexplore.ieee.org
Twitter is one of the most popular platforms for sharing opinions, ideas, feelings and
information. Tweets on Twitter may have language that is similar to that of a group or …
information. Tweets on Twitter may have language that is similar to that of a group or …
Advancements in Word Embeddings: A Comprehensive Survey and Analysis
In recent years, the field of Natural Language Processing (NLP) has seen significant growth
in the study of word representation, with word embeddings proving valuable for various NLP …
in the study of word representation, with word embeddings proving valuable for various NLP …
Word Embeddings for Constructive Comments Classification
D Uribe - Journal of Physics: Conference Series, 2021 - iopscience.iop.org
Word embeddings are so significant today that it is common to see their application in
multiple natural language tasks. Indeed, word embeddings as the first layer of a deep …
multiple natural language tasks. Indeed, word embeddings as the first layer of a deep …