Results 51 to 60 of about 547,938 (128)

Optimizing Aspect-Based Sentiment Analysis Using BERT for Comprehensive Analysis of Indonesian Student Feedback

Applied Sciences
Evaluating the learning process requires a platform for students to express feedback and suggestions openly through online reviews. Sentiment analysis is often used to analyze review texts but typically captures only overall sentiment without identifying
Ahmad Jazuli, Widowati, Retno Kusumaningrum   +2 more
doaj   +1 more source

Named Entity Recognition for Medical Records of Heart Failure Using a Pre-trained BERT Model

Journal of Applied Informatics and Computing
This study aims to develop a Named Entity Recognition (NER) model based on a pre-trained BERT model for medical records of heart failure patients. The focus of this research is to classify essential medical entities from unstructured medical record texts.
Mikael Triartama Manurung, I Gusti Ngurah Lanang Wijayakusuma, I Putu Winada Gautama   +2 more
doaj   +1 more source

Transformers meets neoantigen detection: a systematic literature review

Journal of Integrative Bioinformatics
Cancer immunology offers a new alternative to traditional cancer treatments, such as radiotherapy and chemotherapy. One notable alternative is the development of personalized vaccines based on cancer neoantigens.
Machaca Vicente, Goyzueta Valeria, Cruz María Graciel, Sejje Erika, Pilco Luz Marina, López Julio, Túpac Yván   +6 more
doaj   +1 more source

INFLUENCE OF DATA AUGMENTATION ON NAMED ENTITY RECOGNITION USING TRANSFORMER-BASED MODELS

Електроніка та інформаційні технології
Transformer-based models have demonstrated their effectiveness for natural language processing tasks. Training these models requires huge amounts of textual data.
Bohdan Pavlyshenko, I. Drozdov
doaj   +1 more source

Domain adaptive English aspect word extraction method based on bidirectional long and short-term memory network and multi-head attention mechanism

Journal of Applied Science and Engineering
English aspect word extraction is a core task of aspect level sentiment analysis. With the continuous development of social networks, more users tend to make decisions based on comment text, and pay more attention to the details of comment text ...
Tianxiao Wang
doaj   +1 more source

Research on feature extraction of unstructured large power texts

Zhejiang dianli
Large power texts contain numerous abbreviations of technical terms， alternative names， and irregular expressions. Existing word segmentation tools often fail to identify specialized vocabulary in the electrical engineering field， significantly hindering
WANG Jiakai, HUANG Peizhuo, LI Yongle, SHENG Shuang, LIU Yang, ZHENG Ling, WEI Zhenhua   +6 more
doaj   +1 more source

Unmasking Fake Users on Social Media: An AI-Driven Detection Framework

Online Academic Journal of Information Technology
The widespread use of fake user accounts on social media platforms poses serious threats to digital trust, public opinion, and platform integrity.
Alireza Esmaili Jobani, Hakan Burak Emekli   +1 more
doaj   +1 more source

CGG-Based Segmentation and Counting of Densely Distributed Rice Seeds in Seedling Trays

智慧农业
[Objective]The precise quantification of rice seeds within individual cavities of seedling trays constitutes a critical operational parameter for optimizing seeding efficiency and fine-tuning the performance of air-vibration precision seeders.
OUYANG Meng, ZOU Rong, CHEN Jin, LI Yaoming, CHEN Yuhang, YAN Hao   +5 more
doaj   +1 more source

QR code security: an adaptive retraining approach for dynamic URL-based threat detection. [PDF]

Sci Rep
Almousa H, Alsuhibany SA.
europepmc   +1 more source

Technical evaluation of language models adapted for the automation of legal contracts: clause extraction, classification, and summarization. [PDF]

Front Artif Intell
Govea J, Ortiz-Gárces I, Palacios P, Navarro AM, Del Pino SA, Villegas-Ch W.   +5 more
europepmc   +1 more source