Results 91 to 100 of about 142,696 (248)

tf-idf metric iKeyCriteria (dataset)

open access: yes, 2022
Result of document analysis with the tf-idf metric to obtain a key criteria pattern in serious game design methodologies.THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON
Carrión-Toro, M (via Mendeley Data)   +1 more
core   +1 more source

Performance of TF-IDF for Text Classification Reviews on Google Play Store: Shopee

open access: yesJournal of Computing Research and Innovation
TF-IDF is a technique used to extract features in the field of text classification. The TF-IDF approach extracts feature by considering the frequencies of terms and their inverse document frequencies.
Najwa Umaira Che Mohd Safawi   +1 more
doaj   +3 more sources

Development of extraction features for Detecting Adolescent Personality with Machine Learning Algorithms

open access: yesJOIV: International Journal on Informatics Visualization
This study aims to develop a Natural Language Processing (NLP)-based feature extraction algorithm optimized for personality type classification in adolescents.
Irzal Arief Wisky   +2 more
doaj   +1 more source

The impact of generative artificial intelligence on innovation: Evidence from software products

open access: yesStrategic Management Journal, EarlyView.
Abstract Research Summary We study the impact of generative artificial intelligence (GAI) tools on product‐level innovation outcomes in the context of software products. Specifically, we illustrate how GAI can alter the direction of innovation by shifting the activities of developers away from generational innovation and toward original innovation ...
Erdem Doğukan Yılmaz, Tim Meyer
wiley   +1 more source

Semantic-Enhanced News Clustering Using TF-IDF and WordNet with K-Means

open access: yesJournal of Information Systems and Informatics
Text clustering of news articles falls under unsupervised learning, where models operate on unlabeled data unless partially annotated. K-Means Clustering remains one of the most commonly applied algorithms due to its efficiency and simplicity. Likewise,
Mohammad Yusuf Hidayat   +2 more
doaj   +1 more source

An Empirical Study on the Evaluation of Graph‐Based Strategies for Intelligent Modeling Assistants

open access: yesSoftware: Practice and Experience, EarlyView.
ABSTRACT Context In the context of model‐driven engineering, the proliferation of intelligent modeling assistants (IMAs) has pushed the boundaries of automation, providing modelers with relevant recommendations based on incomplete modeling artifacts as primary input.
Ilirian Ibrahimi   +3 more
wiley   +1 more source

ANALISIS PROGRAM MAKAN BERGIZI GRATIS DENGAN SUPPORT VECTOR MACHINE (SVM) PADA APLIKASI X

open access: yesJSiI (Jurnal Sistem Informasi)
The Free Nutritious Meal Program (MBG), which represents a priority program of President Prabowo Subianto, has garnered widespread attention from Indonesian society. This program has received sympathy from various groups, including students and informal
Sekar Cinta Amaria, Nurtriana Hidayati
doaj   +1 more source

The DF-ICF Algorithm- Modified TF-IDF

open access: yesInternational Journal of Computer Applications, 2014
tf-idf is an algorithm which is generally used where massive data processing is done. Tf-idf is the weight given to a particular term within a document and it is proportional to the importance of the term. This paper aims to use the idea behind the tf-idf algorithm to design the df-icf algorithm which finds the importance of a particular document ...
Vidya Kamath, Puneet Goswami
openaire   +1 more source

Baselining Large Language Model Performance in Systems Engineering Using SysEngBench

open access: yesSystems Engineering, EarlyView.
ABSTRACT In the rapidly evolving field of artificial intelligence (AI), large language model s (LLMs) have demonstrated impressive capabilities in generating natural language. However, their proficiency in specialized domains, particularly in the field of systems engineering (SE), remains less explored and unquantified.
Ryan Bell   +3 more
wiley   +1 more source

Perbandingan feature selection word frequencies dan TF/IDF pada proses fuzzy clustering [PDF]

open access: yes, 2019
Perundang-undangan yang diberlakukan di Indonesia tentang Pemajuan Budaya baru saja dicanangkan tahun 2017. Opini penonton terhadap sajian budaya merupakan salah satu data dasar yang sangat penting digunakan untuk referensi apakah suatu tontonan ...
Zubair, Anis   +4 more
core  

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