Results 71 to 80 of about 50,760 (261)
Methods of improving sentiment analysis based on sentiment dictionary
Franklin OpenSentiment analysis relying on predefined dictionaries often suffers from reduced accuracy due to biases in the sentiment scores assigned to certain words.
Janghoon Yang
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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 +3 more
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Arthritis Care &Research, EarlyView.Objective This study aimed to describe real‐world trends in preconception and prenatal use of antirheumatic drugs among pregnant individuals with rheumatic diseases in Ontario, Canada. Methods We conducted a time‐series analysis using repeated cross‐sectional data to examine annual patterns of disease‐modifying antirheumatic drug (DMARD) use among ...
Shenthuraan Tharmarajah +6 more
wiley +1 more source
Arthritis Care &Research, Accepted Article.Objective The objective of this article is to identify perceptions of SLE patients regarding artificial intelligence (AI)‐based online symptom assessment tools, and the potential of these tools to address diagnostic barriers. Methods Adults from our SLE research cohort were invited to participate in 60‐90 minute virtual focus groups concerning their ...
Olivia A. Stein +7 more
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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 +3 more
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Advanced Engineering Materials, EarlyView.The tribological behavior of 100Cr6 steel spheres textured via Vickers microindentation is evaluated under lubricated sliding by varying both dimple size and density. Fine and dense textures significantly reduce friction across all lubrication regimes, while large dimples increase it.
Farideh Davoodi +3 more
wiley +1 more source
Social Media Sentiment Analysis
EncyclopediaSocial media sentiment analysis is the computational detection and extraction of human subjective evaluation of objects embedded on social media. Previous sentiment analysis was conducted on isolated written texts, and typically classified sentiment into
Joyce Y. M. Nip, Benoit Berthelier
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Toward Multimodal Sentiment Analysis of Historic Plays
Digital Humanities in the Nordic and Baltic Countries Publications, 2019 We present a case study as part of a work-in-progress project about multimodal sentiment analysis on historic German plays, taking Emilia Galotti by G. E. Lessing as our initial use case. We analyze the textual version and an audio version (audio book).
Thomas Schmidt +2 more
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CoRR, 2015 This project addresses the problem of sentiment analysis in twitter; that is classifying tweets according to the sentiment expressed in them: positive, negative or neutral. Twitter is an online micro-blogging and social-networking platform which allows users to write short status updates of maximum length 140 characters.
openaire +2 more sources
Handbook of Establishing and Maintaining Oxygen‐Free Atmospheres
Advanced Engineering Materials, EarlyView.This study presents a practical framework for creating oxygen‐free atmospheres at ambient pressure using silane‐doped inert gases. The results show that ultra‐low oxygen levels and strongly reduced water content can be achieved through controlled silane dosing, drying systems, and sensor monitoring.
Sascha Jan Zimmermann +3 more
wiley +1 more source