Results 41 to 50 of about 4,133 (219)

Slovene and Croatian word embeddings in terms of gender occupational analogies

open access: yesSlovenščina 2.0: Empirične, aplikativne in interdisciplinarne raziskave, 2021
In recent years, the use of deep neural networks and dense vector embeddings for text representation have led to excellent results in the field of computational understanding of natural language.
Matej Ulčar   +3 more
doaj   +1 more source

Analysis and Optimization of fastText Linear Text Classifier

open access: yesCoRR, 2017
The paper [1] shows that simple linear classifier can compete with complex deep learning algorithms in text classification applications. Combining bag of words (BoW) and linear classification techniques, fastText [1] attains same or only slightly lower accuracy than deep learning algorithms [2-9] that are orders of magnitude slower.
Vladimir Zolotov, David Kung
openaire   +2 more sources

Implementation of CNN Algorithm for Indonesian Hoax News Detection on Online News Portals

open access: yesJournal of Applied Informatics and Computing
The Spread of hoax news in the Industrial Revolution 4.0 era has occurred in the world’s society, including Indonesia. Therefore, an effective method is needed to detect it.
Clifansi Remi Siwi Hati, Heni Sulistiani
doaj   +1 more source

Automatic Classifying of Requirements-Relevant Contents From App Reviews in the Arabic Language

open access: yesIEEE Open Journal of the Computer Society
The market for mobile application development continues to thrive with billions of users and millions of apps. Collecting software requirements for mobile apps has to cope with this trend, so as for the software to compete in this crowded scene ...
Abualsoud A. Hanani   +2 more
doaj   +1 more source

Multi-label Classification of Indonesian Al-Quran Translation based CNN, BiLSTM, and FastText

open access: yesTechno.Com
Studying the Qur'an is a pivotal act of worship in Islam, which necessitates a structured understanding of its verses to facilitate learning and referencing.
Ahmad Rofiqul Muslikh   +3 more
doaj   +1 more source

FastText Embedding for Twi

open access: yes, 2022
FastText Embedding for Twi, as part of the PhD thesis of David Ifeoluwa Adelani. The embedding was trained for the Massive vs.
David Ifeoluwa Adelani
core   +1 more source

Deepfake Detection on Social Media: Leveraging Deep Learning and FastText Embeddings for Identifying Machine-Generated Tweets

open access: yesIEEE Access, 2023
Recent advancements in natural language production provide an additional tool to manipulate public opinion on social media. Furthermore, advancements in language modelling have significantly strengthened the generative capabilities of deep neural models,
Saima Sadiq, Turki Aljrees, Saleem Ullah
doaj   +1 more source

Application of Knowledge Distillation Based on Transfer Learning of ERNIE Model in Intelligent Dialogue Intention Recognition

open access: yesSensors, 2022
The ‘intention’ classification of a user question is an important element of a task-engine driven chatbot. The essence of a user question’s intention understanding is the text classification.
Shiguang Guo, Qing Wang
doaj   +1 more source

Word Embedding Features to Improve Machine Learning Performance in Sentiment Analysis of the Honor of Kings Game

open access: yesSistemasi: Jurnal Sistem Informasi
The rapid growth of social media has encouraged an increasing number of studies on sentiment analysis to better understand public perceptions and opinions.
Abdul Harris   +4 more
doaj   +1 more source

Fast and scalable neural embedding models for biomedical sentence classification

open access: yesBMC Bioinformatics, 2018
Background Biomedical literature is expanding rapidly, and tools that help locate information of interest are needed. To this end, a multitude of different approaches for classifying sentences in biomedical publications according to their coarse semantic
Asan Agibetov   +3 more
doaj   +1 more source

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