Results 71 to 80 of about 167,833 (278)

Attention-based LSTM for Aspect-level Sentiment Classification [PDF]

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016
Aspect-level sentiment classification is a fine-grained task in sentiment analysis. Since it provides more complete and in-depth results, aspect-level sentiment analysis has received much attention these years. In this paper, we reveal that the sentiment polarity of a sentence is not only determined by the content but is also highly related to the ...
Yequan Wang, Minlie Huang, Xiaoyan Zhu 0001, Li Zhao 0007   +3 more
openaire   +1 more source

Auditory–Tactile Congruence for Synthesis of Adaptive Pain Expressions in RoboPatients

Advanced Robotics Research, EarlyView.
In this work, we explore auditory–tactile congruence for synthesizing adaptive vocal pain expressions in robopatients. Using a robopatient platform that integrates vocal pain sounds with palpation forces, we conducted 7680 trials across 20 participants.
Saitarun Nadipineni, Chapa Sirithunge, Yue Xie, Fumiya Iida, Thilina Dulantha Lalitharatne   +4 more
wiley   +1 more source

Attentional Encoder Network for Targeted Sentiment Classification

, 2019
Targeted sentiment classification aims at determining the sentimental tendency towards specific targets. Most of the previous approaches model context and target words with RNN and attention.
Jiang, Tao, Liu, Zhiyue, Rao, Yanghui, Song, Youwei, Wang, Jiahai   +4 more
core   +1 more source

Hybrid Continuum Robot Designs and Architectures for Healthcare Applications

Advanced Robotics Research, EarlyView.
Hybrid continuum robots represent an emerging class of flexible manipulators that blend materials, structures, and actuation concepts from the established fields of soft and continuum robotics. This review introduces an accessible framework to distinguish key hybridization approaches, surveys current designs aimed at complex clinical applications, and ...
Burak Ozdemir, Muhammad A. Khalid, Manish Chauhan, Pietro Valdastri, James H. Chandler   +4 more
wiley   +1 more source

Functional Fibers in Soft Robotics: Advances in Material, Structural, and Systemic Tactics

Advanced Robotics Research, EarlyView.
Fiber‐form robotic systems offer a scalable pathway toward embodied intelligence in soft robotics. This review surveys functional fibers as material, structural, and systemic elements, highlighting advances in responsive materials, architectural programing, and fabrication strategies.
Joonhee Won, Jaehyun Jang, Hyeonseo Kim, Inyoung Choi, Steve Park, Seongjun Park   +5 more
wiley   +1 more source

A Survey on Multimodal Aspect-Based Sentiment Analysis

IEEE Access
Multimodal Aspect-Based Sentiment Analysis (MABSA), as an emerging task in the field of sentiment analysis, has recently received widespread attention. Its aim is to combine relevant multimodal data to determine the sentiment polarity of a given aspect ...
Hua Zhao, Manyu Yang, Xueyang Bai, Han Liu   +3 more
doaj   +1 more source

Target-Sensitive Memory Networks for Aspect Sentiment Classification [PDF]

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2018
Aspect sentiment classification (ASC) is a fundamental task in sentiment analysis. Given an aspect/target and a sentence, the task classifies the sentiment polarity expressed on the target in the sentence. Memory networks (MNs) have been used for this task recently and have achieved state-of-the-art results.
Shuai Wang 0020, Sahisnu Mazumder, Bing Liu 0001, Mianwei Zhou, Yi Chang 0001   +4 more
openaire   +1 more source

Cyclodextrin‐Functionalized Light‐Driven Cu2O Micromotors for Simultaneous Capture and Degradation of Bisphenol A

Advanced Robotics Research, EarlyView.
Fuel‐free Cu2O‐based micromotors functionalized with β‐cyclodextrin actively remove bisphenol A from water under visible light. The cyclodextrin shell captures BPA and enhances micromotor motility, leading to faster degradation and higher overall removal than nonfunctionalized Cu2O and Cu2O@Au.
Luisa Natalia Cordoba Urresti, Rebeca Ferrer Campos, Yufen Chen, Katherine Villa   +3 more
wiley   +1 more source

On the robustness of arabic aspect-based sentiment analysis: A comprehensive exploration of transformer-based models

Journal of King Saud University: Computer and Information Sciences
In the era of rapid technological advancement, users generate an overwhelming volume of data on social media networks and e-commerce platforms daily. This data, rich in opinions, sentiments, values, and habits, holds immense value for both consumers and ...
Alanod AlMasaud, Heyam H. Al-Baity
doaj   +1 more source

Dual-Attention Model for Aspect-Level Sentiment Classification

CoRR, 2023
9 pages, 5 ...
openaire   +2 more sources