Results 1 to 10 of about 1,082 (177)
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
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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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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
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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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Review of Recent Trends in the Detection of Hate Speech and Offensive Language on Social Media
Acta Electrotechnica et Informatica, 2022 In the article, we describe recent trends in the detection of hate speech and offensive language on social media. We accord from the latest studies and scientific contributions. The article describes current trends and the most used methods in connection
Sokolová Zuzana +2 more
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Membandingkan Nilai Akurasi BERT dan DistilBERT pada Dataset Twitter
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
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Prediction of user loyalty in mobile applications using deep contextualized word representations
Journal of Information and Telecommunication, 2022 Customer loyalty is important for many industries, including banking, telecommunications, gaming, and shopping, in terms of sustainability. In mobile applications, it is observed that the demand rises with the usage of mobile devices such as smartphones.
Zeynep Hilal Kilimci
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IEEE Access, 2023 Information and Communication Technologies fueled social networking and facilitated communication. However, cyberbullying on the platform had detrimental ramifications.
Teoh Hwai Teng, Kasturi Dewi Varathan
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Authorship identification using ensemble learning
Scientific Reports, 2022 With time, textual data is proliferating, primarily through the publications of articles. With this rapid increase in textual data, anonymous content is also increasing.
Ahmed Abbasi +5 more
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