Results 41 to 50 of about 606,833 (269)

Sentiment Analysis of Feedback Data [PDF]

International Journal of Trend in Scientific Research and Development, 2019
Knowing about the user's feedback can come to a greater aid in knowing the user as well as improving the organization. Here an example of student's data is taken for study purpose. Analyzing the student feedback will help to help to address student related problems and help to make teaching more student oriented. Prashali S. Shinde | Asmita R. Kanase |
Prashali S. Shinde, Asmita R. Kanase, Rutuja S. Pawar | Yamini U. Waingankar   +2 more
openaire   +2 more sources

Recommendations for the Use of Disease‐Modifying Antirheumatic Drugs in Pregnancy and Reproductive Health for Patients With Rheumatic Disease: A Scoping Review

Arthritis Care &Research, EarlyView.
Objective Autoimmune rheumatic diseases commonly affect individuals of childbearing age, with historically increased adverse pregnancy outcomes in this group. The advent of disease‐modifying antirheumatic drugs (DMARDs) has fostered more suitable conditions for pregnancy; however, this is accompanied by challenges in ensuring safe use in reproductive ...
Athena Chin, Alice Terrett, Mihye Kwon, Samuel Whittle, Catherine Hill   +4 more
wiley   +1 more source

Aspect-Based Sentiment Analysis Using a Two-Step Neural Network Architecture

, 2017
The World Wide Web holds a wealth of information in the form of unstructured texts such as customer reviews for products, events and more. By extracting and analyzing the expressed opinions in customer reviews in a fine-grained way, valuable ...
AP Aprosio, C Fellbaum, JK-C Chung, K Schouten, M Dragoni, M Schuster, Q Le, R Collobert   +7 more
core   +1 more source

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

Discovering New Sentiments from the Social Web [PDF]

, 2014
A persistent challenge in Complex Systems (CS) research is the phenomenological reconstruction of systems from raw data. In order to face the problem, the use of sound features to reason on the system from data processing is a key step.
Borrego-Díaz, Joaquín, Galan-Paez, Juan   +1 more
core   +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

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

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

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

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