Results 51 to 60 of about 3,503 (268)

Perbandingan Metode Lexicon-based dan SVM untuk Analisis Sentimen Berbasis Ontologi pada Kampanye Pilpres Indonesia Tahun 2019 di Twitter

Fountain of Informatics Journal, 2019
AbstrakPenggunaan media sosial semakin hari semakin meningkat. Salah satu media sosial yang popular saat ini adalah Twitter. Menjelang pemilihan Presiden Republik Indonesia semakin banyak tweet yang membahas tentang kegiatan tersebut. Hal ini menyebabkan
Ahmad Choirun Najib, Akhmad Irsyad, Ghiffari Assamar Qandi, Nur Aini Rakhmawati   +3 more
doaj   +1 more source

Why We Need to Study Assisted Methods to Teach Typing to Nonspeaking Autistic People

Autism Research, EarlyView.
ABSTRACT At least one third of autistic people have limited or no speech. Most nonspeaking autistic people are never provided alternatives that would enable the full range of expression that speech allows, significantly limiting their access to educational, social, and employment opportunities.
Vikram K. Jaswal, Barry M. Prizant, Morgan D. Barense, Kristie Patten, Gary Stobbe   +4 more
wiley   +1 more source

Machine Learning with Self-Assessment Manikin Valence Scale for Fine-Grained Sentiment Analysis

Information
Traditional sentiment analysis methods use lexicons or machine learning models to classify text as positive or negative. These approaches are unable to capture nuance or intensity in short or informal texts.
Lindung Parningotan Manik, Harry Susianto, Arawinda Dinakaramani, R. Niken Pramanik, Totok Suhardijanto   +4 more
doaj   +1 more source

Building Dynamic Lexicons for Sentiment Analysis

Inteligencia Artificial, 2019
Nowadays, many approaches for Sentiment Analysis (SA) rely on affective lexicons to identify emotions transmitted in opinions. However, most of these lexicons do not consider that a word can express different sentiments in different predication domains ...
Nicolás Mechulam, Damián Salvia, Aiala Rosá, Mathias Etcheverry   +3 more
doaj   +1 more source

Age‐related differences in hydroxychloroquine‐associated adverse events: A pharmacovigilance study based on the FDA Adverse Event Reporting System

British Journal of Clinical Pharmacology, EarlyView.
Aims This real‐world pharmacovigilance study utilizes FDA Adverse Event Reporting System (FAERS) data (2004–2024) to characterize age‐related disparities in hydroxychloroquine (HCQ)‐associated adverse events (AEs), addressing gaps in age‐stratified risk assessment. Methods Disproportionality analysis (reporting odds ratios, RORs) and parametric Weibull
Guanghan Sun, Jingrong Yang, Lei Wan, Xia Xu, Jing Wang   +4 more
wiley   +1 more source

Empowering citizens to spontaneously report suspected adverse drug reaction: Systematic literature review of interventions and their impact

British Journal of Clinical Pharmacology, EarlyView.
This systematic literature review aimed to identify and characterize existing interventions designed to empower citizens to spontaneously report adverse drug reactions (ADRs) and to determine which interventions have been shown to be the most effective internationally. The research question was structured using the PICO framework.
Margarida Perdigão, Ana Margarida Advinha, Manuel José Lopes, Sofia de Oliveira Martins   +3 more
wiley   +1 more source

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, Manuel Burghardt, Christian Wolff   +2 more
doaj   +1 more source

Multichannel Approach for Sentiment Analysis Using Stack of Neural Network with Lexicon Based Padding and Attention Mechanism

Applied Computer Systems, 2023
Sentiment analysis (SA) has been an important focus of study in the fields of computational linguistics and data analysis for a decade. Recently, promising results have been achieved when applying DNN models to sentiment analysis tasks.
Kota Venkateswara Rao, Shyamala Devi M.
doaj   +1 more source

Sentiment lexicon for sentiment analysis of Saudi dialect tweets

Procedia Computer Science, 2018
Abstract Twitter is one of the most widely used social media platforms in Saudi Arabia and is a rich source for mining the public’s attitude towards political, social, and economic matters. Sentiment analysis is a technique used for identifying the polarity (positive, negative, or neutral) of a given tweet, using either machine learning approaches or
Abdulmohsen Al-Thubaity, Qubayl Alqahtani, Abdulaziz Aljandal   +2 more
openaire   +1 more source

Building an Arabic Sentiment Lexicon Using Semi-supervised Learning

Journal of King Saud University: Computer and Information Sciences, 2014
Sentiment analysis is the process of determining a predefined sentiment from text written in a natural language with respect to the entity to which it is referring. A number of lexical resources are available to facilitate this task in English.
Fawaz H.H. Mahyoub, Muazzam A. Siddiqui, Mohamed Y. Dahab   +2 more
doaj   +1 more source