Results 81 to 90 of about 633,534 (237)

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

Semisupervised Autoencoder for Sentiment Analysis

, 2015
In this paper, we investigate the usage of autoencoders in modeling textual data. Traditional autoencoders suffer from at least two aspects: scalability with the high dimensionality of vocabulary size and dealing with task-irrelevant words.
Zhai, Shuangfei, Zhang, Zhongfei
core   +1 more source

A Collaborative System for Sentiment Analysis [PDF]

, 2010
In the past we have witnessed our machine learning method for sentiment analysis coping well with figurative language, but determining with uncertainty the polarity of mildly figurative cases We have shown that for these uncertain cases, a rule-based system should be consulted We evaluate this collaborative approach on the ”Rotten Tomatoes” movie ...
Rentoumi, V, Petrakis, S, Karkaletsis, V, Klenner, M, Vouros, G A   +4 more
openaire   +4 more sources

Development of a personalized visualization and analysis tool to improve clinical care in complex multisystem diseases with application to scleroderma

Arthritis Care &Research, Accepted Article.
Background In complex diseases, it is challenging to assess a patient's disease state, trajectory, treatment exposures, and risk of multiple outcomes simultaneously, efficiently and at the point of care. Methods We developed an interactive patient‐level data visualization and analysis tool (VAT) that automates illustration of a scleroderma patient's ...
Ji Soo Kim, John Scott, Lauren Fisher, Lauren N. Smith, Willie Stewart, Adrianne Woods, Rob Smithwright, Diane Koher, Parastoo Aslanbeik, Aalok B. Shah, Brad Tibbils, Samantha I. Pitts, Ayse P. Gurses, Yushi Yang, Ana‐Maria Orbai, Antony Rosen, Laura K. Hummers, Scott L. Zeger, Ami A. Shah   +18 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

A survey on sentiment analysis challenges

Journal of King Saud University: Engineering Sciences, 2018
With accelerated evolution of the internet as websites, social networks, blogs, online portals, reviews, opinions, recommendations, ratings, and feedback are generated by writers. This writer generated sentiment content can be about books, people, hotels,
Doaa Mohey El-Din Mohamed Hussein
doaj   +1 more source

Hip morphology‐based osteoarthritis risk prediction models: development and external validation using individual participant data from the World COACH Consortium

Arthritis Care &Research, Accepted Article.
Objectives This study aims to develop hip morphology‐based radiographic hip osteoarthritis (RHOA) risk prediction models and investigates the added predictive value of hip morphology measurements and the generalizability to different populations. Methods We combined data from nine prospective cohort studies participating in the World COACH consortium ...
Myrthe A. van den Berg, Fleur Boel, Michiel M.A. van Buuren, Noortje S. Riedstra, Jinchi Tang, Harbeer Ahedi, Nigel K. Arden, Sita M.A. Bierma‐Zeinstra, Cindy G. Boer, Flavia M. Cicuttini, Timothy F. Cootes, David T. Felson, Willem Paul Gielis, Joshua Heerey, Graeme Jones, Stefan Kluzek, Nancy E. Lane, Claudia Lindner, Joyce B.J. van Meurs, Andrea Mosler, Amanda E. Nelson, Michael C. Nevitt, Edwin H. Oei, Jos Runhaar, Harrie Weinans, Jesse H. Krijthe, Rintje Agricola   +26 more
wiley   +1 more source

Identifying High‐Impact Solutions to Address Racial and Ethnic Health Disparities in Lupus: A Consensus‐Based Approach

Arthritis Care &Research, Accepted Article.
Objective We conducted formative research aimed at identifying solutions that address inequitable health outcomes in lupus due to adverse social determinants of health. Methods We conducted a search for keywords which provided insights into potential solutions and initiatives underway. An advisory panel of lupus experts iteratively reviewed the list of
Joy Buie, Michael P. Fisher, Kristen Backor, Hannah Tyldsley, Ashira Blazer, Candace Feldman, Andrea Knight, S. Sam Lim, Barbara Ann Polk, Ed Yelin, Edith Williams, Karen H. Costenbader   +11 more
wiley   +1 more source

Sentiment Analysis for E-Commerce Product Reviews in Chinese Based on Sentiment Lexicon and Deep Learning

IEEE Access, 2020
In recent years, with the rapid development of Internet technology, online shopping has become a mainstream way for users to purchase and consume. Sentiment analysis of a large number of user reviews on e-commerce platforms can effectively improve user ...
Li Yang, Ying Li, Jin Wang, R. Simon Sherratt   +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   +2 more sources