Results 81 to 90 of about 554,719 (285)

Strawman: an Ensemble of Deep Bag-of-Ngrams for Sentiment Analysis

, 2017
This paper describes a builder entry, named "strawman", to the sentence-level sentiment analysis task of the "Build It, Break It" shared task of the First Workshop on Building Linguistically Generalizable NLP Systems.
Cho, Kyunghyun
core   +1 more source

Ultra‐Fast Non‐Volatile Resistive Switching Devices with Over 512 Distinct and Stable Levels for Memory and Neuromorphic Computing

Advanced Functional Materials, EarlyView.
A materials and device design concept that comprises a self‐assembled ultra‐thin epitaxial ion‐transporting layer, an amorphous oxide overcoat oxygen‐blocking layer, and a partial filament formed during an electroforming step is proposed for low‐current multilevel resistive switching devices.
Ming Xiao, Markus Hellenbrand, Nives Strkalj, Babak Bakhit, Zhuotong Sun, Nikolaos Barmpatsalos, Dovydas Joksas, Hongyi Dou, Zedong Hu, Ping Lu, Samip Karki, Sundar Kunwar, Jonathan D. Major, Aiping Chen, Haiyan Wang, Quanxi Jia, Adnan Mehonic, Judith L. MacManus‐Driscoll   +17 more
wiley   +1 more source

Google Cloud vs. Azure: sentiment analysis accuracy for Polish and English across content types

Journal of Cloud Computing: Advances, Systems and Applications
This study investigated the comparative performance of two popular sentiment analysis tools, Azure Sentiment Analysis and Google Cloud Sentiment Analysis, applied to Polish and English text data.
Łukasz Pawlik
doaj   +1 more source

Improving the Performance of Sentiment Analysis of Tweets Containing Fuzzy Sentiment Using the Feature Ensemble Model

IEEE Access, 2020
The increase in the volume of user-generated content on Twitter has resulted in tweet sentiment analysis becoming an essential tool for the extraction of information about Twitter users' emotional state.
Huyen Trang Phan, Van Cuong Tran, Ngoc Thanh Nguyen, Dosam Hwang   +3 more
doaj   +1 more source

Enhance the Power of Sentiment Analysis

World Academy of Science, Engineering and Technology, International Journal of Computer, Electrical, Automation, Control and Information Engineering, 2014
{"references": ["IBM. IBM Research - Tokyo / Text Mining. Available from: http://www.trl.ibm.com/projects/textmining/takmi/sentiment_analysis_e.htm.", "Alec Go, R.B., Lei Huang, Twitter Sentiment Classification Using Distant Surpervision. 2009, Stanford University.", "twitrratr.
Yu Zhang, Pedro Desouza
openaire   +4 more sources

Biointerfacing with AgBiS2 Quantum Dots for Pseudocapacitive Photostimulation

Advanced Functional Materials, EarlyView.
It is demonstrated that AgBiS2 quantum dots exhibit unique photoinduced pseudocapacitive charge transfer properties, enabling efficient light‐to‐electrical energy conversion. These quantum dots facilitate enhanced light absorption and transduction when integrated with ZnO nanowires, which serve as an effective charge transport medium.
Ridvan Balamur, Tarik Safa Kaya, Selin Sariyer, Hümeyra Nur Kaleli, Asim Onal, Ugur Berkay Caliskan, Murat Hasanreisoğlu, Rezan Demir‐Cakan, Sedat Nizamoglu   +8 more
wiley   +1 more source

Photoswitchable Conductive Metal–Organic Frameworks

Advanced Functional Materials, EarlyView.
A conductive material where the conductivity can be modulated remotely by irradiation with light is presented. It is based on films of conductive metal–organic framework type Cu3(HHTP)2 with embedded photochromic molecules such as azobenzene, diarylethene, spiropyran, and hexaarylbiimidazole in the pores.
Yidong Liu, Mersad Mostaghimi, Abhinav Chandresh, Saibal Jana, Wolfgang Wenzel, Lars Heinke   +5 more
wiley   +1 more source

Ideal Molecular Sieving with a Dense MOF for Helium Upgrading with Highly Diffusion Selective Mixed Matrix Membranes

Advanced Functional Materials, EarlyView.
The separation of Helium gas from natural gas is challenging but highly important. MIL‐116(Ga), a “non‐porous” metal–organic framework is used as a molecular sieve to separate He from CH4. Druse‐like MIL‐116(Ga) particles are integrated into polysulfone mixed matrix membranes.
Ayisha Komal, Laura Calderón‐Rodríguez, Oksana Smirnova, Eren Grossmann, Aparna Binu Varghese, Karen Marlenne Garcia Alvarez, Andreas Schneemann, Thomas Hoyer, Ralf Wyrwa, Felix Helmut Schacher, Alexander Knebel   +10 more
wiley   +1 more source

A Zero-Shot Interpretable Framework for Sentiment Polarity Extraction

IEEE Access
Sentiment analysis is a task in natural language processing that focuses on identifying and categorizing emotions expressed in text. Despite the remarkable predictive performance achieved by deep learning models in this domain, their limited ...
Thanakorn Chaisen, Phasit Charoenkwan, Cheong Ghil Kim, Pree Thiengburanathum   +3 more
doaj   +1 more source

Rude waiter but mouthwatering pastries! An exploratory study into Dutch aspect-based sentiment analysis [PDF]

, 2016
The fine-grained task of automatically detecting all sentiment expressions within a given document and the aspects to which they refer is known as aspect-based sentiment analysis.
De Clercq, Orphée, Hoste, Veronique
core