Results 141 to 150 of about 1,045,616 (359)
Using bilingual knowledge and ensemble techniques for unsupervised Chinese sentiment analysis [PDF]
, 2008 Xiaojun Wan
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A comprehensive survey of contemporary Arabic sentiment analysis: Methods, Challenges, and Future Directions [PDF]
arXivSentiment Analysis, a popular subtask of Natural Language Processing, employs computational methods to extract sentiment, opinions, and other subjective aspects from linguistic data. Given its crucial role in understanding human sentiment, research in sentiment analysis has witnessed significant growth in the recent years.
arxiv
A Statistical Parsing Framework for Sentiment Classification [PDF]
arXiv, 2014 We present a statistical parsing framework for sentence-level sentiment classification in this article. Unlike previous works that employ syntactic parsing results for sentiment analysis, we develop a statistical parser to directly analyze the sentiment structure of a sentence.
arxiv
Advanced Healthcare Materials, EarlyView.A novel hydrogel (HLBP) incorporating natural polysaccharides from goji berries is developed to enhance diabetic bone defect healing. The hydrogel efficiently scavenges ROS, improves osteogenic differentiation, and promotes in vivo bone regeneration. This strategy offers a biocompatible and localized approach, overcoming the challenges of traditional ...
Wenjie Zhong +9 more
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Document-Word Co-regularization for Semi-supervised Sentiment Analysis [PDF]
, 2008 Vikas Sindhwani, Prem Melville
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Enhanced Sentiment Analysis of Iranian Restaurant Reviews Utilizing Sentiment Intensity Analyzer & Fuzzy Logic [PDF]
arXivThis research presents an advanced sentiment analysis framework studied on Iranian restaurant reviews, combining fuzzy logic with conventional sentiment analysis techniques to assess both sentiment polarity and intensity. A dataset of 1266 reviews, alongside corresponding star ratings, was compiled and preprocessed for analysis.
arxiv
Computational Simulations of Metal–Organic Frameworks to Enhance Adsorption Applications
Advanced Materials, EarlyView.This review highlights the significance of molecular simulations in expanding the understanding of metal–organic frameworks (MOFs) and improving their gas adsorption applications. The historical development and implementation of molecular simulations in the MOF field are given, high‐throughput computational screening studies used to unlock the ...
Hilal Daglar +3 more
wiley +1 more source
Issues in Sentiment analysis [PDF]
IOSR Journal of Computer Engineering, 2012 Natural language processing is concerned with artificial intelligence and linguistics. It provides opportunity to interact with computers using human natural languages. There are varieties of applications of NLP. The AI and business intelligence contributes in extraction of meaning and knowledge represented in natural language text. The major areas are
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Computational Modeling of Reticular Materials: The Past, the Present, and the Future
Advanced Materials, EarlyView.Reticular materials are advanced materials with applications in emerging technologies. A thorough understanding of material properties at operating conditions is critical to accelerate the deployment at an industrial scale. Herein, the status of computational modeling of reticular materials is reviewed, supplemented with topical examples highlighting ...
Wim Temmerman +3 more
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Supramolecular Chemistry in Metal–Organic Framework Materials
Advanced Materials, EarlyView.This review highlights synergies between reticular chemistry and supramolecular chemistry. The role of supramolecular interactions in determining framework…guest interactions and attempts to understand dynamic behavior in metal–organic frameworks (MOFs), particularly emphasizing the development of crystal sponges, studying reactions in frameworks and ...
Eugenia Miguel‐Casañ +3 more
wiley +1 more source