Results 141 to 150 of about 136,207 (260)
Transformer‐Based Contextual Modeling for Predicting Calories From Recipes
A transformer‐based regression model with token‐level attention pooling is proposed for predicting calorie content directly from unstructured recipe text. By fine‐tuning RoBERTa in an end‐to‐end manner, attention is learned to be focused on calorie‐relevant tokens such as ingredients, fats, and cooking methods.
Md. Siam Ansary, Amina Brinto
wiley +1 more source
A Data‐Driven Review of Geoscience Research Evolution Using SciBERT‐Based Topic and Network Analysis
This review synthesises the evolution of global geoscience research from 2004 to 2023 using large‐scale bibliometric evidence. By combining keyword co‐occurrence network analysis with SciBERT‐based topic modelling, it identifies major paradigm transitions from geology‐centred research to climate‐focused studies and recent data‐ and AI‐driven ...
Sooyeon Han, Ju‐seop Kim
wiley +1 more source
A Sentiment analysis-based hotel recommendation using TF-IDF Approach
A Sentiment analysis-based hotel recommendation using TF-IDF ...
AAJ Jothi (22824119) +2 more
core
ABSTRACT This study examined how Korean counselors conceptualize counseling expertise across developmental stages. Using text mining of 70 counselors’ written responses, analyses included word frequency, semantic network, and CONCOR clustering. Both groups shared a lexical foundation, with performance competence, continuous learning, and diverse ...
GeonWoo Cho, GoEun Na, Nanseol Heo
wiley +1 more source
A detection method for android application security based on TF-IDF and machine learning. [PDF]
Yuan H, Tang Y, Sun W, Liu L.
europepmc +1 more source
Extractive Text Summarization for Turkish Using Tf-Idf and Pagerank Algorithms [PDF]
Bilgi teknolojileri ve İnternet altyapısının gelişmesi ile birlikte kullanıcıların bilgiye ulaşması çok daha hızlı ve basit bir hale gelmiştir. Ancak, bu gelişmelerin bir başka sonucu da bilgi fazlalığına neden olması ve bunun sonucu olarak istenilen ...
Turhan, Çiğdem, Akülker, Emre
core
ABSTRACT For scholarly publishers, Generative AI presents efficiency opportunities but critical metadata quality challenges. To determine if AI can replace authors, we conducted a multi‐dimensional comparative analysis of 1500 paired scholar‐authored and Large Language Model (LLM)‐generated keyword sets from high‐impact Chinese social science articles,
Hanlin Xu, Chenghui Wu, Yang Zhang
wiley +1 more source
Sem-TF-IDF: A Simple Semantic Approach to Generalize TF-IDF by Employing Instruction Tuned Large Language Models [PDF]
TF-IDF (Term Frequency - Inverse Document Frequency) based information retrieval approaches compute the measure of importance of a word to a document in a collection or corpus, adjusted for the fact that some words appear more frequently in general ...
Chen, Wei, Lin, Bo
core +1 more source
Question classification based on Bloom's taxonomy cognitive domain using modified TF-IDF and word2vec. [PDF]
Mohammed M, Omar N.
europepmc +1 more source
ABSTRACT This study presents a comprehensive methodology for processing multilingual customer support data to prepare it for training AI‐based conversational systems. Using a dataset of 36,599 unique customer interactions from a Finnish energy company, we employed language‐specific BERT models to identify and analyse thematic patterns within customer ...
Joona Mäntyvaara +2 more
wiley +1 more source

