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Clinical Sentiment Analysis by Large Language Models Enhances Prediction of Hepatorenal Syndrome. [PDF]

Gastro Hep Adv
Lai M, Fenton C, Rubin J, Huang CY, Pletcher M, Lai JC, Cullaro G, Ge J.   +7 more
europepmc   +1 more source

"My AI is Lying to Me": User-reported LLM hallucinations in AI mobile apps reviews. [PDF]

Sci Rep
Massenon R, Gambo I, Khan JA, Agbonkhese C, Alwadain A.   +4 more
europepmc   +1 more source

Prediction of infectious diseases using sentiment analysis on social media data. [PDF]

PLoS One
Song Y, Yoon B.
europepmc   +1 more source

Does social media information affect individual investor disposition effect? Evidence from Xueqiu. [PDF]

PLoS One
Chen S, Ren F.
europepmc   +1 more source

Analyzing sentiment shifts in news coverage of occupational accidents: A case study of the Amasra mining disaster in Türkiye. [PDF]

Work
Dikbıyık D, Alp S.
europepmc   +1 more source

VietSentiLex: a sentiment dictionary that considers the polarity of ambiguous sentiment words

VietSentiLex: a sentiment dictionary that considers the polarity of ambiguous sentiment words
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Generating a sentiment dictionary in R and dictionary-based sentiment analysis in Turkish texts

Digital Scholarship in the Humanities, 2022
Abstract Dictionary-based sentiment analysis is a text mining application that allows comments about the sentimental states of the text or documents through the sentimental poles of the words. In recent years, it has become quite popular in many disciplines such as trade, health, education, usage for various purposes.
Bilal Barış Alkan, Leyla Karakus, Bekir Direkci   +2 more
openaire   +1 more source