Results 111 to 120 of about 1,045,616 (359)

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

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  

Exploiting emoticons in sentiment analysis

Proceedings of the 28th Annual ACM Symposium on Applied Computing, 2013
As people increasingly use emoticons in text in order to express, stress, or disambiguate their sentiment, it is crucial for automated sentiment analysis tools to correctly account for such graphical cues for sentiment. We analyze how emoticons typically convey sentiment and demonstrate how we can exploit this by using a novel, manually created ...
Malissa Bal, Alexander Hogenboom, Daniella Bal, Franciska de Jong, Flavius Frasincar, Uzay Kaymak   +5 more
openaire   +4 more sources

Development of a Novel, All‐Aromatic High Tensile Modulus Liquid Crystalline Polyimide for Fused Filament Fabrication Applications

Advanced Functional Materials, EarlyView.
A novel, high tensile modulus, fully aromatic thermotropic liquid crystalline polyimide (LCPI) with better solvent resistance and thermal stability is synthesized. Tensile specimens are fabricated using both injection molding and FFF processes, accomplished via lower viscosity enabled by the LC phase.
Zhenning Yu, Mia Carrola, Bingqian Zheng, Loon‐Seng Tan, Amir Asadi, Christopher A. Crouse, Hilmar Koerner   +6 more
wiley   +1 more source

A Physically‐Based Machine Learning Approach Inspires an Analytical Model for Spider Silk Supercontraction

Advanced Functional Materials, EarlyView.
Starting from an experimental database, a physically‐based machine learning approach is used to gain new insights into spider silk supercontraction. These insights inspire a microstructure‐based analytical model that quantitatively predicts supercontraction based on protein primary structure properties. New experiments to further elucidate the physical
Vincenzo Fazio, Ali D. Malay, Keiji Numata, Nicola M. Pugno, Giuseppe Puglisi   +4 more
wiley   +1 more source

TripleSent: a triple store of events associated with their prototypical sentiment [PDF]

, 2016
The current generation of sentiment analysis systems is limited in their real-world applicability because they cannot detect utterances that implicitly carry positive or negative sentiment.
Desmet, Bart, Hoste, Veronique, Lefever, Els, van der Waart van Gulik, Stephan   +3 more
core   +1 more source

Super‐Tough Silk: The Potential of Knots in Evolved Spiders

Advanced Functional Materials, EarlyView.
The toughness of spider silk can be further significantly enhanced if spiders evolved the –currently absent/undiscovered– ability to tie knots in their silk. The results on 393 spiders suggest toughness increments by one or two orders of magnitude and thus a new perspective on how knotting can serve as a key innovation in spider evolution and in ...
Nicola M. Pugno
wiley   +1 more source

A Clustering Analysis of Tweet Length and its Relation to Sentiment [PDF]

arXiv, 2014
Sentiment analysis of Twitter data is performed. The researcher has made the following contributions via this paper: (1) an innovative method for deriving sentiment score dictionaries using an existing sentiment dictionary as seed words is explored, and (2) an analysis of clustered tweet sentiment scores based on tweet length is performed.
arxiv  

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

Natural Language Processing for Sentiment Analysis in Socialmedia Techniques and Case Studies [PDF]

ITM Web of Conferences
Social media platforms have become a significant medium for expressing opinions, emotions, and sentiments, making sentiment analysis a crucial task in Natural Language Processing (NLP).
Veluswamy Anusha Sowbarnika, A Nagamani, M SilpaRaj, D Yobu, M Ashwitha, V Mangaiyarkaras   +5 more
doaj   +1 more source