Results 81 to 90 of about 4,133 (219)
BarekengSentiment analysis is a process for analyzing opinions, sentiments, assessments, and emotions from someone's statements regarding a domain or is also a process for entering and processing data in the form of text.
Fadilah Amirul Adhel +2 more
doaj +1 more source
Advanced Materials, Volume 38, Issue 17, 20 March 2026.We present SP‐13786 (SP), a fibroblast activation protein (FAP) inhibitor, as a universal excipient for co‐assembling stable drug nanoparticles (SCAN). Assembly mechanism deciphered by molecular dynamics and explainable machine learning, SCAN attenuate fibrosis‐induced stromal barriers, enhances lesional drug accumulation, and improves therapeutic ...
Zehua Liu +15 more
wiley +1 more source
NCHLT Sesotho fastText-Skipgram embeddings
, 2023 Static word and subword embeddings for the Skipgram flavour of the fastText architecture (Bojanowski et al., 2017).
Roald Eiselen
core +1 more source
NCHLT Sepedi fastText-Skipgram embeddings
, 2023 Static word and subword embeddings for the Skipgram flavour of the fastText architecture (Bojanowski et al., 2017).
Roald Eiselen
core +1 more source
Analyzing Reddit Data: Hybrid Model for Depression Sentiment using FastText Embedding
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)Depression, a prevalent mental condition globally, exerts a substantial influence on various aspects of human cognition, emotions, and behaviour.
Merinda Lestandy +3 more
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This presentation offers a rigorous and visually structured exploration of how FastText advances natural language processing beyond traditional word-level models. The work begins by critically examining the limitations of early NLP approaches such as Word2Vec and GloVe, which treat words as indivisible atomic units. As illustrated in the early slides,
openaire +1 more source
Exploring Swedish & English fastText Embeddings for NER with the Transformer
, 2020 In this paper, our main contributions are that embeddings from relatively smaller corpora can outperform ones from larger corpora and we make the new Swedish analogy test set publicly available. To achieve a good network performance in natural language processing (NLP) downstream tasks, several factors play important roles: dataset size, the right ...
Adewumi, Tosin P. +2 more
openaire +2 more sources
Comparative analysis of BERT and FastText representations on crowdfunding campaign success prediction [PDF]
PeerJ Computer ScienceCrowdfunding has become a popular financing method, attracting investors, businesses, and entrepreneurs. However, many campaigns fail to secure funding, making it crucial to reduce participation risks using artificial intelligence (AI).
Hakan Gunduz
doaj +2 more sources
Generative AI Image Sentiment Analysis on Social Media X using TF-IDF and FastText
Journal of Applied Informatics and ComputingThis research investigates public opinion on AI-generated images on Social Media X using machine learning-driven text classification. Three classification models were evaluated: Complement Naïve Bayes (CNB) utilizing TF-IDF features, Support Vector ...
Rahman Saputra +2 more
doaj +1 more source
Sentiment Analysis of Indonesian Citizens on Electric Vehicle Using FastText and BERT Method
Journal of Information Systems and InformaticsElectric vehicles have become one of the most important innovations in the automotive industry in recent years. This is not only related to technological developments, but also to its significant impact on the environment and lifestyle of global society.
Darryl Rayhan Wijaya +2 more
doaj +1 more source