Results 41 to 50 of about 3,503 (268)
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 +1 more
wiley +1 more source
Abstract The study of neuroanatomy is fundamental in many scientific fields. Despite this, it is a challenging subject for students. As technology evolves, it is being increasingly incorporated into educational methods, including the teaching of neuroanatomy. Three‐dimensional (3D) visualizations are well suited for displaying neuroanatomy.
Merlin J. Fair +5 more
wiley +1 more source
Essential work, invisible workers: The role of digital curation in COVID‐19 Open Science
Abstract In this paper, we examine the role digital curation practices and practitioners played in facilitating open science (OS) initiatives amid the COVID‐19 pandemic. In Summer 2023, we conducted a content analysis of available information regarding 50 OS initiatives that emerged—or substantially shifted their focus—between 2020 and 2022 to address ...
Irene V. Pasquetto +2 more
wiley +1 more source
Building Domain Specific Sentiment Lexicons Combining Information from Many Sentiment Lexicons and a Domain Specific Corpus [PDF]
Most approaches to sentiment analysis requires a sentiment lexicon in order to automatically predict sentiment or opinion in a text. The lexicon is generated by selecting words and assigning scores to the words, and the performance the sentiment analysis depends on the quality of the assigned scores.
Hammer, Hugo Lewi +3 more
openaire +2 more sources
Abstract Aspect‐Based Sentiment Analysis (ABSA) has evolved from textual analysis to a multimodal paradigm, integrating visual information to capture nuanced sentiments. Despite advancements, existing Multimodal ABSA (MABSA) research remains limited in granularity, which focuses on either coarse‐level categories or named entities, neglecting fine ...
Li Yang +3 more
wiley +1 more source
To effectively and accurately capture future fluctuations in crude oil prices from massive news data, this study proposes a forecasting method based on an improved sentiment lexicon and integrating news sentiment.
Ming Li +5 more
doaj +1 more source
BackgroundThe innovative method of sentiment analysis based on an emotional lexicon shows prominent advantages in capturing emotional information, such as individual attitudes, experiences, and needs, which provides a new ...
Chaixiu Li +16 more
doaj +1 more source
Developing Lexicon-based Algorithms and Sentiment Lexicon for Sentiment Analysis of Saudi Dialect Tweets [PDF]
Majority of studies on sentiment analysis field, specifically Arabic lexicon-based approach, are focused on doing preprocessing methods on targeted dataset text or collected textual data from Twitter (Twitter dataset) rather than dealing with lexicon itself.
openaire +1 more source
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
Regional Shopping Objectives in British Grocery Retail Transactions Using Segmented Topic Models
ABSTRACT Understanding the customer behaviours behind transactional data has high commercial value in the grocery retail industry. Customers generate millions of transactions every day, choosing and buying products to satisfy specific shopping needs.
Mariflor Vega Carrasco +4 more
wiley +1 more source

