Results 41 to 50 of about 30,779 (289)

User sentiment detection: a YouTube use case [PDF]

, 2010
In this paper we propose an unsupervised lexicon-based approach to detect the sentiment polarity of user comments in YouTube. Polarity detection in social media content is challenging not only because of the existing limitations in current sentiment ...
Breslin, John G., Choudhury, Smitashree
core  

Sentiment analysis methods for understanding large-scale texts: a case for using continuum-scored words and word shift graphs

EPJ Data Science, 2017
The emergence and global adoption of social media has rendered possible the real-time estimation of population-scale sentiment, an extraordinary capacity which has profound implications for our understanding of human behavior.
Andrew J Reagan, Christopher M Danforth, Brian Tivnan, Jake Ryland Williams, Peter Sheridan Dodds   +4 more
doaj   +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

The Development of a Temporal Information Dictionary for Social Media Analytics [PDF]

, 2017
Dictionaries have been used to analyze text even before the emergence of social media and the use of dictionaries for sentiment analysis there. While dictionaries have been used to understand the tonality of text, so far it has not been possible to ...
Beck, Roman, Mukkamala, Alivelu Manga
core  

Learning Lexico-Functional Patterns for First-Person Affect

, 2017
Informal first-person narratives are a unique resource for computational models of everyday events and people's affective reactions to them. People blogging about their day tend not to explicitly say I am happy.
Anand, Pranav, Oraby, Shereen, Reed, Lena, Walker, Marilyn, Wu, Jiaqi   +4 more
core   +1 more source

Research on Personalized Recommendation Algorithm Integrating Cross-Grained Sentiment and Rating Interaction Features

IEEE Access
To investigate the impact of cross-grained sentiments on user feature representation and address the issue of data sparsity, this paper proposes a Personalized Recommendation Algorithm Integrating Cross-Grained Sentiment and Rating Interaction Features ...
Bing Li, Jiangtao Dong, Xile Wang, Yuqi Hou, Biao Yang   +4 more
doaj   +1 more source

Predicting crude oil returns and trading position: evidence from news sentiment [PDF]

Seonmul yeongu
We study the effectiveness of textual information in predicting the returns of crude oil futures and understanding the behavior of market participants. Using a machine learning method to extract oil market sentiment from news articles, we find that the ...
Hail Jung, Daejin Kim
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

Sentiment Analysis of Short Texts Using SVMs and VSMs-Based Multiclass Semantic Classification

Applied Artificial Intelligence
In our approach, a hybrid machine learning model is proposed which uses Enhanced Vector Space Model (EVSM) along with Hybrid Support Vector Machine (HSVM) classifier.
K. Suresh Kumar, A.S. Radha Mani, T. Ananth Kumar, Ahmad Jalili, Mehdi Gheisari, Yasir Malik, Hsing-Chung Chen, Ata Jahangir Moshayedi   +7 more
doaj   +1 more source

From Sentiment to Sentimentality: A Nineteenth-Century Lexicographical Search

19, 2007
The brief account of the lexicographical history of the word ‘sentiment' in the nineteenth century, and the table of definitions which follows it, grew from my increasing sense of the shifting and ambivalent nature of the term in the literature of the ...
Marie Banfield
doaj   +2 more sources