Results 61 to 70 of about 479,101 (332)

Analisis Opini Terhadap Fitur Smartphone Pada Ulasan Website Berbahasa Indonesia

IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2016
Through online stores, consumers can give an opinion of a product, one of the best-selling products is smartphone. Their opinions become valuable and can be worthwhile to know the advantages or disadvantages of products based on the user’s experience ...
Doni Setyawan, Edi Winarko
doaj   +1 more source

Using Opinion Mining as an educational analytic: An integrated strategy for the analysis of students’ feedback [PDF]

, 2021
Michelangelo Misuraca, Germana Scepi, Maria Spano   +2 more
openalex   +1 more source

Advanced Experiment Design Strategies for Drug Development

Advanced Intelligent Discovery, EarlyView.
Wang et al. analyze 592 drug development studies published between 2020 and 2024 that applied design of experiments methodologies. The review surveys both classical and emerging approaches—including Bayesian optimization and active learning—and identifies a critical gap between advanced experimental strategies and their practical adoption in ...
Fanjin Wang, Anthony Harker, Mohan Edirisinghe, Maryam Parhizkar   +3 more
wiley   +1 more source

Discourse Based Opinion Mining on Roman Urdu Data

JISR on Computing, 2019
The use of Roman Urdu (in the form of web and user-generated content) is a common mode of communication on social media. Content like comments, reviews, feedbacks and social networking posts have been generated in Roman Urdu in large volumes.
Zareen Sharaf, Husnain Manzoor Ali
doaj   +1 more source

Bayesian Sentiment Analytics for Emerging Trends in Unstructured Data Streams [PDF]

EAI Endorsed Transactions on Scalable Information Systems, 2019
Today the computational study of people’s opinion expressed in free form written text is called the field of sentiment analysis and opinion mining. Various research areas such as Natural Language Processing, Data Mining, Text Mining lie in field of ...
Najam Sahar, Muhammad Irshad, Muhammad Khan   +2 more
doaj   +1 more source

Semantic Sentiment Analysis of Twitter Data

, 2017
Internet and the proliferation of smart mobile devices have changed the way information is created, shared, and spreads, e.g., microblogs such as Twitter, weblogs such as LiveJournal, social networks such as Facebook, and instant messengers such as Skype
B Jansen, B Liu, B Pang, F Sebastiani, G Forman, J Bollen, J Villena-Roman, J Wiebe, J Wiebe, JW Pennebaker, KW Church, P Nakov, PJ Stone, S Burton, S Kiritchenko, SR Das   +15 more
core   +1 more source

A Comparative Analysis of Opinion Mining and Sentiment Classification in Non-english Languages [PDF]

, 2013
In the past decade many opinion mining and sentiment classification studies have been carried out for opinions in English. However, the amount of work done for non-English text opinions is very limited.In this review, we investigate opinion mining and ...
Medagoda, N, Shanmuganathan, S, Whalley, JL   +2 more
core   +1 more source

Comparison of DeePMD, MTP, GAP, ACE and MACE Machine‐Learned Potentials for Radiation‐Damage Simulations: A User Perspective

Advanced Intelligent Discovery, EarlyView.
The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy, Ram Devanathan, Sarah Allec, Giridhar Nandipati, Andrew M. Casella, David J. Senor, Duane D. Johnson, Ganesh Balasubramanian, Ayoub Soulami   +8 more
wiley   +1 more source

Autonomous AI‐Driven Design for Skin Product Formulations

Advanced Intelligent Discovery, EarlyView.
This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang, Yongrui Xiao, Chunlin Chen, Dimitrios Tsaoulidis, Kai Yang, Tao Chen   +5 more
wiley   +1 more source

ChatGPT for complex text evaluation tasks

Journal of the Association for Information Science and Technology, Volume 76, Issue 4, Page 645-648, April 2025.
Abstract ChatGPT and other large language models (LLMs) have been successful at natural and computer language processing tasks with varying degrees of complexity. This brief communication summarizes the lessons learned from a series of investigations into its use for the complex text analysis task of research quality evaluation.
Mike Thelwall
wiley   +1 more source