Results 71 to 80 of about 218,652 (304)

Comparison of Naïve Bayes and Support Vector Machine for Sentiment Classification of Acne Skincare Reviews

open access: yesJournal of Applied Informatics and Computing
The increasing popularity of skincare products for acne-prone skin had led to a surge in online consumer reviews, which are characterized by informal language, domain-specific terminology, and imbalanced sentiment distribution, posing challenges for ...
Alti Arindika, Majid Rahardi
doaj   +1 more source

The Lupus Damage Index Revision Program: Results From the Item Generation and Reduction Phases

open access: yesArthritis Care &Research, EarlyView.
Objective A data‐driven and expert/patient consensus‐based project to develop a revised Systemic Lupus International Collaborating Clinics (SLICC)/American College of Rheumatology (ACR) Damage Index (SDI) is under way supported by SLICC, ACR, and the Lupus Foundation of America. Our objective is to report the item generation and reduction phase results
Burak Kundakci   +25 more
wiley   +1 more source

Sentiment Analysis customer Towards Cinema Services in Semarang Using Naive Bayes Classifier on Google Reviews

open access: yesJournal of Applied Informatics and Computing
The development of the entertainment industry, especially in the field of cinema, encourages every service provider to continuously maintain the quality of their services. One method of assessing customer satisfaction is through sentiment testing.
Husni Brian Maualan   +2 more
doaj   +1 more source

Crises boursières et sentiment de l’investisseur

open access: yesAcademic Finance, 2019
L’émergence d’un nouveau courant de recherche, la finance comportementale, liant les comportements des marchés et la psychologie humaine, cherche à étudier les biais cognitifs liés au comportement des investisseurs et qui ne sont pas expliqués par la ...
dalenda BEN AHMED, jamel Eddine HENCHIRI
doaj   +1 more source

Engagement Patterns With an Artificial Intelligence Health Coach for Systemic Sclerosis Self‐Management: A Mixed Methods Study

open access: yesArthritis Care &Research, EarlyView.
Objective To evaluate utility of an artificial intelligence (AI) health coach for systemic sclerosis (SSc) self‐management and identify patterns associated with participant engagement. Methods We conducted a mixed methods study in which an AI health coach, powered by a large language model (LLM), was used to support self‐management for SSc.
Nirali Shah   +4 more
wiley   +1 more source

Sentiment analysis of online media [PDF]

open access: yes, 2012
Paper presented at the DAGM-GfKl/IFCS 2011, Joint Conference of the German Classification Society (GfKl) and the German Association for Pattern Recognition (DAGM), August 31 to September 2, 2011 and at the IFCS 2011 Symposium of the International ...
Salter-Townshend, Michael   +1 more
core   +1 more source

Sentiment and Emotional Analysis of The Public Housing Savings Program (TAPERA) using Orange Data Mining

open access: yesJournal of Applied Informatics and Computing
This study employs a text analysis methodology to assess public perception of the People's Housing Savings Program (TAPERA), by examining 3.078 tweets containing the keyword "tapera" using the Orange Data Mining application with two analytical approaches:
Hawangga Dhiyaul Fadly, Handaru Jati
doaj   +1 more source

A Call for Hypothesis-Driven, Multi-Level Analysis in Research on Emotional Word Painting in Music: Commentary on Sun & Cuthbert (2018)

open access: yesEmpirical Musicology Review, 2019
This commentary discusses Sun and Cuthbert's (2018) exploratory analysis of emotional word painting in a corpus of English-language popular and folk songs. The authors are complimented for their application of computational tools to an impressively large
Niels Chr. Hansen
doaj   +1 more source

Understanding the Burden of Orofacial Involvement and Patient Treatment Preferences in Systemic Sclerosis: Results From a Large International Survey

open access: yesArthritis Care &Research, EarlyView.
Objective Orofacial manifestations are significantly impactful in patients with systemic sclerosis (SSc) yet remain understudied, with no dedicated clinical guidelines to inform their management. Methods An international online survey comprised38 questions addressing orofacial manifestations of SSc, including patients’ confidence in their treating ...
Eleni Deligianni   +4 more
wiley   +1 more source

Sentiment Analysis of Money Lover App Reviews using Random Forest and Naïve Bayes

open access: yesSistemasi: Jurnal Sistem Informasi
This study aims to analyze user sentiment toward the Money Lover application and to compare the performance of two different machine learning algorithms, Random Forest and Naïve Bayes, in binary classification of review data.
Nanda Aulia Salsa Bila   +2 more
doaj   +1 more source

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