Results 111 to 120 of about 136,207 (260)
A gene pathway enrichment method based on improved TF-IDF algorithm. [PDF]
Biochem Biophys Rep, 2023 Xu S, Leng Y, Feng G, Zhang C, Chen M.
europepmc +1 more source
Automatic Mood Classification Using Tf*Idf Based On Lyrics.
, 2010 [TODO] Add abstract here.
van Zaanen, M., Kanters, P.H.M.
openaire +4 more sources
Lost in the Language: Data Breaches and the Strategic Fog of Risk Disclosures
Accounting &Finance, EarlyView.ABSTRACT This study examines whether firms strategically adjust the readability of Item 1A (“Risk Factors”) disclosures following data breaches. Using U.S. firm‐year observations from 2006 to 2023, we find that data breaches are associated with a significant decline in Item 1A readability.
Ling Tuo, Shipeng Han
wiley +1 more source
Asia-Pacific Journal of Financial Studies, EarlyView.Abstract This study develops an explainable machine learning model to predict cryptocurrency delistings using Binance data. It combines quantitative indicators (price, volume) with qualitative data from real‐time news and Reddit. Latent Dirichlet Allocation (LDA) is used to extract topic trends and community reactions, which are transformed into time ...
Sungju Yang, Hunyeong Kwon
wiley +1 more source
Indoor Scene Recognition via Object Detection and TF-IDF. [PDF]
J Imaging, 2022 Heikel E, Espinosa-Leal L.
europepmc +1 more source
APLIKASI PENELUSURAN OPINI PUBLIK TERHADAP TELKOM UNIVERSITY MENGGUNAKANPEMBOBOTAN TF-IDF [PDF]
, 2014 ABSTRAK Analisis sentimen bertujuan untuk mengidentifikasi beban emosional suatu pernyataan, yang memiliki tiga kategori dasar, yaitu: positif, negatif, dan netral.
Ayu Rahmadini
core
Creativity and Innovation Management, Volume 34, Issue 4, Page 991-1012, December 2025.ABSTRACT Traditional techniques for evaluating creative outcomes are typically based on evaluations made by human experts. These methods suffer from challenges such as subjectivity, biases, limited availability, ‘crowding’, and high transaction costs. We propose that large language models (LLMs) can be used to overcome these shortcomings.
Theresa Kranzle, Katelyn Sharratt
wiley +1 more source
Comprehension of polarity of articles by citation sentiment analysis using TF-IDF and ML classifiers. [PDF]
PeerJ Comput Sci, 2022 Karim M +6 more
europepmc +1 more source
A qualitative assessment of quantitative easing sentiment
Economic Inquiry, EarlyView.Abstract This mixed‐method study undertakes a comprehensive inquiry of the public discourse on social media surrounding quantitative easing (QE) across the US, the UK, and the European Union. Utilizing a unique tweet dataset, we reveal the sentiment polarity toward QE policy to be strongly negative, at 71.27%, with positive sentiment a mere 4.25 ...
Niamh Wylie, Martha O’Hagan‐Luff
wiley +1 more source
Identifying single-item faked responses in personality tests: A new TF-IDF-based method. [PDF]
PLoS One, 2022 Purpura A +4 more
europepmc +1 more source