Results 31 to 40 of about 4,438 (260)

Sentiment Classification for Chinese Text Based on Interactive Multitask Learning

IEEE Access, 2020
In this paper, an interactive multitask learning method for Chinese text sentiment classification is proposed. Here, the classic BiLSTM + attention + CRF model is used to obtain full use of the interaction relationship between tasks, and it ...
Han Zhang, Shaoqi Sun, Yongjin Hu, Junxiu Liu, Yuanbo Guo   +4 more
doaj   +1 more source

Graph-Based Lexical Sentiment Propagation Algorithm

Mathematics
In the rapidly developing field of sentiment analysis, it is a challenge to create sentiment dictionaries with broad coverage, especially for languages with limited resources. To address this problem, we propose innovative methodologies that automate the
Tajana Ban Kirigin, Sanda Bujačić Babić, Benedikt Perak   +2 more
doaj   +1 more source

HMDSAD: Hindi multi-domain sentiment aware dictionary [PDF]

2015 International Conference on Computing and Network Communications (CoCoNet), 2015
Sentiment Analysis is a fast growing sub area of Natural Language Processing which extracts user's opinion and classify it according to its polarity into positive, negative or neutral classes. This task of classification is required for many purposes like opinion mining, opinion summarization, contextual advertising and market analysis but it is domain
Vandana Jha, null Savitha R., Sudhashri S Hebbar, P Deepa Shenoy, null Venugopal K R   +4 more
openaire   +1 more source

A Perspective on Interactive Theorem Provers in Physics

Advanced Science, EarlyView.
Into an interactive theorem provers (ITPs), one can write mathematical definitions, theorems and proofs, and the correctness of those results is automatically checked. This perspective goes over the best usage of ITPs within physics and motivates the open‐source community run project PhysLean, the aim of which is to be a library for digitalized physics
Joseph Tooby‐Smith
wiley   +1 more source

Beyond Robodebt: Media Representations of Welfare and Fraud Before and After the Robodebt Royal Commission

Australian Journal of Social Issues, EarlyView.
ABSTRACT Australia's Robodebt scheme, an automated debt recovery program introduced in 2016, was exposed by the Robodebt Royal Commission (RC) as a serious failure of public administration and source of significant harm for thousands of Australians. Through a critical discourse analysis (CDA) of Australian news media, this study explores whether the RC'
Rebecca Coleman‐Hicks, Georgia van Toorn   +1 more
wiley   +1 more source

Financial sentiment analysis for pre-trained language models incorporating dictionary knowledge and neutral features

Natural Language Processing Journal
With increasing financial market complexity, accurate sentiment analysis of financial texts has become crucial. Traditional methods often misinterpret financial terminology and show high error rates in neutral sentiment recognition.
Yongyong Sun, Haiping Yuan, Fei Xu
doaj   +1 more source

Information retrieval or document retrieval? Terminological confusions and unrealistic goals in information science, exemplified in relation to generative artificial intelligence

Journal of the Association for Information Science and Technology, EarlyView.
Abstract ChatGPT and related technologies have revived an old issue in information science (IS) concerning information retrieval (IR) versus document retrieval. Since 1950, the term IR has primarily been used as a misnomer for document retrieval. This problematic terminology reflects a desire to go beyond documents and provide, in response to user ...
Birger Hjørland
wiley   +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

A Barrage Sentiment Analysis Scheme Based on Expression and Tone

IEEE Access, 2019
Most of existing methods do not consider the influence of expression and tone on barrage sentiment analysis. This decreases the effect and accuracy of barrage sentiment analysis.
Zongmin Cui, Quanlei Qiu, Chao Yin, Jing Yu, Zongda Wu, Anyuan Deng   +5 more
doaj   +1 more source