Results 121 to 130 of about 142,696 (248)

Comprehension of polarity of articles by citation sentiment analysis using TF-IDF and ML classifiers. [PDF]

open access: yesPeerJ Comput Sci, 2022
Karim M   +6 more
europepmc   +1 more source

Evaluators' Consideration of Warmth in Performance Assessments: Gender Effects Across Verbal and Numerical Formats

open access: yesGender, Work &Organization, EarlyView.
ABSTRACT When conducting performance appraisals, evaluators largely depend on their subjective perception. This makes performance appraisals particularly vulnerable to biases, especially along the lines of warmth and competence—the two primary dimensions of social judgment. Warmth reflects the ability to build and maintain social relationships, whereas
Jana Kim Gutt
wiley   +1 more source

PENGARUH STEMMING TERHADAP EKSTRAKSI TOPIK MENGGUNAKAN METODE TF*IDF*DF PADA APLIKASI PDS

open access: yes, 2017
Personal Digital Secretary (PDS) is a system that was developed to be a "personal secretary" who work alongside users digitally. PDS convey information to users in the form of email, social media and news.
Luthfan Hadi Pramono, Cuk Subiyantoro
core   +1 more source

Identifying single-item faked responses in personality tests: A new TF-IDF-based method. [PDF]

open access: yesPLoS One, 2022
Purpura A   +4 more
europepmc   +1 more source

AI‐enhanced decision support for fall patients: streamlining inpatient flow in the emergency department

open access: yesInternational Transactions in Operational Research, EarlyView.
Abstract Emergency department (ED) overcrowding and inefficient patient flow are significant operational challenges, often amplified by the volume of patients sustaining fall‐related injuries. This study predicts hospital admission for these encounters by leveraging unstructured clinical text: triage chief complaints (reasons for seeking care) and ...
Dinesh R. Pai   +2 more
wiley   +1 more source

F1 score of age classification (feature size of TF-IDF and Word2Vec is all 500; TF-IDF + Word2Vec is 1,000).

open access: yes, 2018
In general, models from image objects showed greater performance than those from tags. For combined features, we used TF-IDF and Word2Vec, and the model performance increased when the combined features were used. 0.88 is the highest performance.
Kyungsik Han (4814424)   +3 more
core   +1 more source

Improving Native Language Identification with TF-IDF Weighting.

open access: yes, 2013
NAACL/HLT 2013 : Eighth Workshop on Innovative Use of NLP for Building Educational Applications June 13, 2013 Atlanta ...
Gebre, B.   +3 more
openaire   +3 more sources

The Narrative Continent: Discursive Recognition and the EU's Technological Actorness

open access: yesJCMS: Journal of Common Market Studies, EarlyView.
Abstract Recognition in global politics is not only earned through institutions or capabilities; it is narrated into being. This article investigates how the European Union (EU) is framed as a technological actor in global discourse, focusing on the symbolic dynamics of discursive recognition.
Mahmoud Javadi
wiley   +1 more source

A Sentiment analysis-based hotel recommendation using TF-IDF Approach

open access: yes, 2019
A Sentiment analysis-based hotel recommendation using TF-IDF ...
AAJ Jothi (22824119)   +2 more
core  

Visualization of Ren_CECps in traditional TF⋅IDF(left) and SeTF·IDF(right).

open access: yes, 2018
Visualization of Ren_CECps in traditional TF⋅IDF(left) and SeTF·IDF(right).
Fuji Ren (600617), Ning Liu (168279)
core   +1 more source

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