Membandingkan Nilai Akurasi BERT dan DistilBERT pada Dataset Twitter [PDF]
Jurnal Sistem Informasi, 2022 The growth of digital media has been incredibly fast, which has made consuming information a challenging task. Social media processing aided by Machine Learning has been very helpful in the digital era. Sentiment analysis is a fundamental task in Natural
Faisal Fajri +2 more
doaj +3 more sources
Personality Detection on Reddit Using DistilBERT
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2023 Personality is a unique set of motivations, feelings, and behaviors humans possess. Personality detection on social media is a research topic commonly conducted in computer science. Personality models often used for personality detection research are the
Alif Rahmat Julianda, Warih Maharani
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Improving Crisis Events Detection Using DistilBERT with Hunger Games Search Algorithm
Mathematics, 2022 This paper presents an alternative event detection model based on the integration between the DistilBERT and a new meta-heuristic technique named the Hunger Games Search (HGS). The DistilBERT aims to extract features from the text dataset, while a binary
Abdelghani Dahou +2 more
exaly +3 more sources
Leveraging BERT, DistilBERT, and TinyBERT for Rumor Detection
IEEE AccessThe rapid spread of false information on social media has become a major challenge in today’s digital world. This has created a need for an effective rumor detection system that can identify and control the spread of false information in real-time.
Aijazahamed Qazi +4 more
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Context-based sentiment analysis using a BiGRU DistilBERT fusion model for COVID-19 tweets [PDF]
Scientific ReportsThe COVID-19 pandemic triggered an unprecedented surge in Twitter activity, providing a rich source of public opinions and emotions. This study proposes a fusion model combining a bidirectional GRU (BiGRU) and a DistilBERT transformer, with their learned
Utkarsh Sharma +2 more
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Evaluating sentiment analysis models: A comparative analysis of vaccination tweets during the COVID-19 phase leveraging DistilBERT for enhanced insights [PDF]
MethodsXThis study investigates public sentiment toward COVID-19 vaccinations by analyzing Twitter data using advanced machine learning (ML) and natural language processing (NLP) techniques.
Renuka Agrawal +5 more
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Enhancing consistency in piping and instrumentation diagrams using DistilBERT and smart PID systems
Systems and Soft ComputingThis study presents a novel approach utilizing DistilBERT, a lightweight variant of BERT, to identify inconsistencies in piping and instrumentation diagrams (P&IDs) within SmartPID systems.
Edwin Puertas
exaly +3 more sources
Comparative analysis of model compression techniques for achieving carbon efficient AI [PDF]
Scientific ReportsThe growing computational demands of models, such as BERT, have raised concerns about their environmental impact. This study addresses the pressing need for sustainable Artificial Intelligence practices by investigating the efficiency of model ...
Eileen Paula +3 more
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A DistilBERT-based hierarchical text classification for traffic analysis
International Journal of Cognitive Computing in EngineeringHierarchical multilabel text classification (HMTC) is constrained by the relationships between labels, often represented by nontrivial data structures such as directed acyclic graphs (DAGs).
Quang Tran Minh, Do Thanh Thai
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CoRR, 2022 Transformer-based language models have become the standard approach to solving natural language processing tasks. However, industry adoption usually requires the maximum throughput to comply with certain latency constraints that prevents Transformer models from being used in production.
Haihao Shen +9 more
openaire +2 more sources