Results 91 to 100 of about 8,324 (219)

Comparative Study of Random Forest and Ordinal Regression in Concept Map Quality Assessment: The Role of TF-IDF, BERT, and SMOTE-based Balancing

open access: yesIlkom Jurnal Ilmiah
Automatic assessment of concept map quality is an important challenge in the field of education, particularly in evaluating students' conceptual understanding objectively and efficiently. This study aims to compare the performance of two machine learning
Nurul Rismayanti   +3 more
doaj   +1 more source

Community‐Oriented or Self‐Interested? Citizen Motivations for Engaging in Digital Coproduction

open access: yesPublic Administration, EarlyView.
ABSTRACT Public organizations increasingly use digitally enabled platforms such as 311 (a nonemergency service in the United States) to facilitate coproduction and improve service delivery. While prior research has examined coproducers' motivations, we know little about motivations for digital coproduction.
Vishal Trehan   +2 more
wiley   +1 more source

The Goldilocks Effect: How the “Just Right” Writing Styles of Global Corporate Responsibility Frameworks Shapes Their Use by Businesses

open access: yesRegulation &Governance, EarlyView.
ABSTRACT The 21st century has witnessed a surge in the number of global corporate responsibility (GCR) frameworks issued by international organizations (IOs). Our study investigates whether and to what extent these frameworks shape businesses' Corporate Social Responsibility (CSR) communications.
Adam William Chalmers   +1 more
wiley   +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

Multi‐Modal AI Approach in Depression Detection and Treatment: A Systematic Review of Last Decade

open access: yesWIREs Data Mining and Knowledge Discovery, Volume 16, Issue 3, September 2026.
Overview of multimodal approaches for depression detection and treatment. ABSTRACT Depression is a common and devastating mental health illness with serious personal and societal consequences. Despite advancing treatment techniques, there are still hurdles in the effective diagnosis and treatment of depression, such as prompt diagnosis, personalized ...
Smith K. Khare   +3 more
wiley   +1 more source

Hybrid Feature Combination of TF-IDF and BERT for Enhanced Information Retrieval Accuracy

open access: yesJISA (Jurnal Informatika dan Sains)
Text representation is a critical component in Natural Language Processing tasks such as information retrieval and text classification. Traditional approaches like Term Frequency-Inverse Document Frequency (TF-IDF) provide a simple and efficient way to ...
Pajri Aprilio   +3 more
doaj   +1 more source

Methods for assessing problem‐solving competencies in preschoolers: A scoping review

open access: yesReview of Education, Volume 14, Issue 2, August 2026.
Abstract Problem‐solving is an important 21st‐century skill and an indispensable part of early STEM (science, technology, engineering and mathematics) education. To effectively study the development of children's problem‐solving competencies and to evaluate the effectiveness of classroom interventions and programmes, researchers and educators need ...
Joris Van Elsen   +2 more
wiley   +1 more source

LLM-Based Information Retrieval for Disease Detection Using Semantic Similarity

open access: yesJOIN: Jurnal Online Informatika
Information retrieval systems are vital for disease prediction, but traditional methods like TF-IDF struggle with word meanings and produce long, complex vectors.
Muhammad Adrinta Abdurrazzaq   +2 more
doaj   +1 more source

Investigating verbal intelligence using the TF-IDF approach

open access: yes, 2012
In this paper we investigated differences in language use of speakers yielding different verbal intelligence when they describe the same event. The work is based on a corpus containing descriptions of a short film and verbal intelligence scores of the speakers.
Zablotskaya, Kseniya   +2 more
openaire   +2 more sources

Speech and Language Markers of Bipolar Disorder: Challenges and Opportunities

open access: yesBipolar Disorders, Volume 28, Issue 5, August 2026.
ABSTRACT Background Clinicians aspire to predict the emergence of Bipolar Disorder (BD) in a timely manner. To accomplish this, markers reflecting mental states that can be gathered non‐invasively and at large scale are needed. Here, we systematically evaluate evidence relating speech‐based markers to mood states in BD.
Farida Zaher   +4 more
wiley   +1 more source

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