Results 31 to 40 of about 1,654 (258)

A Multi-Layer Network for Aspect-Based Cross-Lingual Sentiment Classification

IEEE Access, 2021
In the recent era, the advancement of communication technologies provides a valuable interaction source between people of different regions. Nowadays, many organizations adopt the latest approaches, i.e., sentiment analysis and aspect-oriented sentiment ...
Kalim Sattar, Qasim Umer, Dinara G. Vasbieva, Sungwook Chung, Zohaib Latif, Choonhwa Lee   +5 more
doaj   +1 more source

A State‐Adaptive Koopman Control Framework for Real‐Time Deformable Tool Manipulation in Robotic Environmental Swabbing

Advanced Robotics Research, EarlyView.
This work presents a state‐adaptive Koopman linear quadratic regulator framework for real‐time manipulation of a deformable swab tool in robotic environmental sampling. By combining Koopman linearization, tactile sensing, and centroid‐based force regulation, the system maintains stable contact forces and high coverage across flat and inclined surfaces.
Siavash Mahmoudi, Amirreza Davar, Dongyi Wang   +2 more
wiley   +1 more source

Capturing Contextual Factors in Sentiment Classification: An Ensemble Approach

IEEE Access, 2020
Sentiment classification is a crucial task in sentiment analysis, and has received significant attention from researchers. Previous studies have focused on using several techniques to solve this problem.
Thien Khai Tran, Tuoi Thi Phan
doaj   +1 more source

A Perspective on Interactive Theorem Provers in Physics

Advanced Science, EarlyView.
Into an interactive theorem provers (ITPs), one can write mathematical definitions, theorems and proofs, and the correctness of those results is automatically checked. This perspective goes over the best usage of ITPs within physics and motivates the open‐source community run project PhysLean, the aim of which is to be a library for digitalized physics
Joseph Tooby‐Smith
wiley   +1 more source

Vernacular Futurism: How Persian Language Users Imagine AI

AI &Innovation, EarlyView.
ABSTRACT Public discourse about artificial intelligence increasingly unfolds through compressed forecasts, moral warnings, and everyday speculation circulating at platform speed. This study examines how Persian language users on X construct and contest AI futures, analyzing a corpus of 4741 posts collected between January 2023 and December 2025, with ...
Arthur Asa Berger, Ehsan Shahghasemi
wiley   +1 more source

Research on Personalized Recommendation Algorithm Integrating Cross-Grained Sentiment and Rating Interaction Features

IEEE Access
To investigate the impact of cross-grained sentiments on user feature representation and address the issue of data sparsity, this paper proposes a Personalized Recommendation Algorithm Integrating Cross-Grained Sentiment and Rating Interaction Features ...
Bing Li, Jiangtao Dong, Xile Wang, Yuqi Hou, Biao Yang   +4 more
doaj   +1 more source

Predicting crude oil returns and trading position: evidence from news sentiment [PDF]

Seonmul yeongu
We study the effectiveness of textual information in predicting the returns of crude oil futures and understanding the behavior of market participants. Using a machine learning method to extract oil market sentiment from news articles, we find that the ...
Hail Jung, Daejin Kim
doaj   +1 more source

Australian Activists as Storytellers in Digital Spaces: Acquiring Skills, Producing Content and Getting the Message Out

Australian Journal of Social Issues, EarlyView.
ABSTRACT As modes of activism rapidly evolve, activists—both seasoned and emerging—must increasingly navigate a hybrid terrain of both digital and non‐digital engagement. This paper draws on the personal narratives of 16 nascent activists based in Australia to explore how they develop competencies related to digital storytelling, which is critical to ...
Garth Stahl, Miri Yemini, Claire Maxwell, Yating Hu, Benjamin Adams, Sarah Bergen   +5 more
wiley   +1 more source

Sentiment Analysis of Short Texts Using SVMs and VSMs-Based Multiclass Semantic Classification

Applied Artificial Intelligence
In our approach, a hybrid machine learning model is proposed which uses Enhanced Vector Space Model (EVSM) along with Hybrid Support Vector Machine (HSVM) classifier.
K. Suresh Kumar, A.S. Radha Mani, T. Ananth Kumar, Ahmad Jalili, Mehdi Gheisari, Yasir Malik, Hsing-Chung Chen, Ata Jahangir Moshayedi   +7 more
doaj   +1 more source

Framing anatomical variation in anatomy textbooks: Language use and its implications

Anatomical Sciences Education, EarlyView.
Text mining of anatomy textbooks shows “abnormal” is the most frequently used descriptor for anatomical variation, reinforcing a binary framing. We advocate for explicit teaching of variation as a spectrum, with consistent, neutral terminology and contextualization (prevalence and functional relevance) to support a more nuanced understanding of ...
An‐Di Yim, Matthew Schell, Alexandra Zachwieja   +2 more
wiley   +1 more source