Results 101 to 110 of about 142,696 (248)
The Hidden Hallyu Emerged: Exploring the Key Motives of Reading Adapted K‐Webtoons of South Korea
Thunderbird International Business Review, EarlyView.ABSTRACT This study aims to investigate why global fans read Korean webtoons (K‐webtoons) and how their motivations vary across different genres. Previous studies have approached the Korean Wave (Hallyu) from a national perspective, emphasizing its influence and primarily discussing K‐pop and K‐drama.
Hoseok Gwak +3 more
wiley +1 more source
Distribution of tf-idf scores for YouTube comments.
, 2014 Each panel shows the distribution of tf-idf scores for YouTube comments stratified by the plateaus defined in [25]. The dotted line shows the threshold beyond which the tf-idf score indicates that the word indicates a specific plateau.
Nicholas Genes (522243) +5 more
core +1 more source
Improving a tf-idf weighted document vector embedding
CoRR, 2019 We examine a number of methods to compute a dense vector embedding for a document in a corpus, given a set of word vectors such as those from word2vec or GloVe. We describe two methods that can improve upon a simple weighted sum, that are optimal in the sense that they maximizes a particular weighted cosine similarity measure.
openaire +2 more sources
A Country That Never Sleeps? A Web Scrapping Analysis of the 24‐h Economy Policy in Ghana
Thunderbird International Business Review, EarlyView.ABSTRACT In light of revitalizing Ghana's economic landscape through sustainable job creation underpinned by 24‐h operations across all key sectors, the National Democratic Congress proposed the ‘24‐h economy’ policy proposal. This study employs the web‐scraping technique through text mining and python codes to analyse 1820 comments from Facebook, X ...
Pius Gamette +3 more
wiley +1 more source
Top-ten tf-idf terms for bibliographic coupling in astronomy.
Top-ten tf-idf terms for bibliographic coupling in astronomy.
Steffen Blaschke (18404206)
core +1 more source
IMPLEMENTASI METODE TF-IDF UNTUK APLIKASI PERINGKAS DOCUMENT BASE
, 2020 Sejak terjadinya revolusi digital, informasi berbasis elektronik lebih dibutuhkan dari pada informasi berbentuk padat/kertas. Padahal, informasi yang ada dalam internet tidak sepenuhnya benar.
Kristiawan, David - 145410108
core
Oversampling vs. undersampling in TF-IDF variations for imbalanced Indonesian short texts classification [PDF]
Even though it is considered a more traditional method compared to more modern algorithms, term frequency inversed document frequency (TF-IDF) nevertheless produces good results in a range of text mining tasks.
Nyoman Prayana Trisna, I; Udayana University +2 more
core +1 more source
Digitalization and Cybersecurity: Firm‐level Evidence
British Journal of Management, EarlyView.Abstract Digitalization has opposing effects on cybersecurity: While new digital technologies can strengthen security capabilities, they simultaneously expand potential attack surfaces. To determine which effect dominates, we analyse 9606 US firm‐years (2006–2023) with 543 documented breaches and find that increased digitalization, measured through 10 ...
Jukka Sihvonen
wiley +1 more source
Enhancing Fake News Detection with Word Embedding: A Machine Learning and Deep Learning Approach
ComputersThe widespread dissemination of fake news on social media has necessitated the development of more sophisticated detection methods to maintain information integrity.
Mutaz A. B. Al-Tarawneh +4 more
doaj +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