Results 131 to 140 of about 1,045,616 (359)

SemEval-2015 Task 10: Sentiment Analysis in Twitter [PDF]

SemEval-2015, 2019
In this paper, we describe the 2015 iteration of the SemEval shared task on Sentiment Analysis in Twitter. This was the most popular sentiment analysis shared task to date with more than 40 teams participating in each of the last three years. This year's shared task competition consisted of five sentiment prediction subtasks.
arxiv  

Using Recycled Materials in a Novel Dual Binder System for Hard Carbon Anodes: Closing the Loop Toward Sustainable Li‐/Na‐ion Batteries

Advanced Functional Materials, EarlyView.
The study explores for the first time the use of polyvinyl butyral (PVB), particularly recycled PVB, as a sustainable binder for Li/Na‐based electrodes in the framework of the H2020 SUNRISE EU project. Findings revealed that electrodes bound with a sustainable PAA/PVB mixture demonstrated exceptional rate capability and high initial Coulombic ...
Hamideh Darjazi, Alessandro Piovano, Giuseppina Meligrana, Giuseppe A. Elia, Claudio Gerbaldi   +4 more
wiley   +1 more source

Quantum Emitters in Hexagonal Boron Nitride: Principles, Engineering and Applications

Advanced Functional Materials, EarlyView.
Quantum emitters in hexagonal boron nitride have emerged as a promising candidate for quantum information science. This review examines the fundamentals of these quantum emitters, including their level structures, defect engineering, and their possible chemical structures.
Thi Ngoc Anh Mai, Md Shakhawath Hossain, Nhat Minh Nguyen, Yongliang Chen, Chaohao Chen, Xiaoxue Xu, Quang Thang Trinh, Toan Dinh, Toan Trong Tran   +8 more
wiley   +1 more source

Turning Words Into Consumer Preferences: How Sentiment Analysis Is Framed in Research and the News Media

Social Media + Society, 2018
Sentiment analysis is an increasingly popular instrument for the analysis of social media discourse. Sentiment scores seemingly represent an objective means of assessing the mood of social media users, consumers, and the public at large. Similar to other
Cornelius Puschmann, Alison Powell
doaj   +1 more source

Fully automatic lexicon expansion for domain-oriented sentiment analysis [PDF]

, 2006
Hiroshi Kanayama, Tetsuya Nasukawa
openalex   +1 more source

Entity-Level Sentiment: More than the Sum of Its Parts [PDF]

arXiv
In sentiment analysis of longer texts, there may be a variety of topics discussed, of entities mentioned, and of sentiments expressed regarding each entity. We find a lack of studies exploring how such texts express their sentiment towards each entity of interest, and how these sentiments can be modelled.
arxiv  

Urine‐Stable Aptamer‐Conjugated Gold Nanorods for the Early Detection of High‐Grade Bladder Cancer Residual Disease

Advanced Healthcare Materials, EarlyView.
Aptamer (A) conjugated gold nanorods (B) for the recognition of bladder cancer cells expressing the integrin α5β1 (C) and the visualization of the targeted GNRs@Chit‐Apt‐Itg by photoacoustic imaging at the surface of the orthotopic bladder cancer in the preclinical model (D).
Chiara Venegoni, Silvia Tortorella, Alessandra Caliendo, Irene Locatelli, Alessia Di Coste, Erica Locatelli, Filippo Capancioni, Emanuela Bua, Simona Camorani, Andrea Salonia, Francesco Montorsi, Jithin Jose, Marco Moschini, Laura Cerchia, Mauro Comes Franchini, Massimo Alfano   +15 more
wiley   +1 more source

Multi-lingual sentiment analysis of financial news streams [PDF]

, 2007
Khurshid Ahmad, D. Cheng, Yousif Almas
openalex   +1 more source

Viscoelastic HyA Hydrogel Promotes Recovery of Muscle Quality and Vascularization in a Murine Model of Delayed Rotator Cuff Repair

Advanced Healthcare Materials, EarlyView.
Rotator cuff tears, a common musculotendinous injury, often lead to permanent functional disability. A novel hyaluronic acid‐based hydrogel shows promise in promoting muscle regeneration after rotator cuff repair. The hydrogel reduces fibrosis, fatty infiltration, and muscle atrophy while supporting vascularization in a murine model.
Morgan R. Pfaff, Aboubacar Wague, Michael Davies, Anouk R. Killaars, Derek Ning, Steven Garcia, Anthony Nguyen, Prashant Nuthalapati, Mengyao Liu, Xuhui Liu, Brian T. Feeley, Kevin E. Healy   +11 more
wiley   +1 more source

Lexicon-Enhanced LSTM With Attention for General Sentiment Analysis

IEEE Access, 2018
Long short-term memory networks (LSTMs) have gained good performance in sentiment analysis tasks. The general method is to use LSTMs to combine word embeddings for text representation.
Xianghua Fu, Jingying Yang, Jianqiang Li, Min Fang, Huihui Wang   +4 more
doaj   +1 more source