Results 1 to 10 of about 136,207 (260)

Perbandingan Metode Pembobotan Tf-Rf Dan Tf-Idf Dikombinasikan Dengan Weighted Tree Similarity Untuk Sistem Rekomendasi Buku

open access: yesJurnal Teknologi Informasi dan Ilmu Komputer, 2022
Unit Pusat Terpadu Perpustakaan merupakan perpustakaan pusat yang ada di Universitas Lambung Mangkurat. Perpustakaan ini mempunyai sistem pencarian buku namun sistem tersebut belum adanya fitur rekomendasi buku sehingga anggota menjadi kesulitan dalam ...
Yuslena Sari   +3 more
doaj   +2 more sources

Common TF–IDF variants arise as key components in the test statistic of a penalized likelihood-ratio test for word burstiness [PDF]

open access: yesDiscover Computing
TF–IDF is a classical formula that is widely used for identifying important terms within documents. We show that TF–IDF-like scores arise naturally from the test statistic of a penalized likelihood-ratio test setup capturing word burstiness (also known ...
Zeyad Ahmed   +3 more
doaj   +2 more sources

Arabic Questions Classification Using Modified TF-IDF [PDF]

open access: yesIEEE Access, 2021
Classifying the cognitive levels of assessment questions according to Bloom’s taxonomy can help instructors design effective assessments that are well aligned with the intended learning outcomes.
Ali Saleh Alammary
doaj   +2 more sources

Analyzing Documents with TF-IDF

open access: yesThe Programming Historian, 2019
This lesson focuses on a foundational natural language processing and information retrieval method called Term Frequency - Inverse Document Frequency (tf-idf).
Matthew J. Lavin
doaj   +2 more sources

Analyse de documents avec TF-IDF

open access: yesThe Programming Historian en Français, 2022
Cette leçon présente une méthode de traitement automatique des langues et de recherche d’informations nommée Term Frequency - Inverse Document Frequency (tf-idf).
Matthew J. Lavin
doaj   +2 more sources

KNN with TF-IDF based Framework for Text Categorization

open access: yesProcedia Engineering, 2014
KNN is a very popular algorithm for text classification. This paper presents the possibility of using KNN algorithm with TF-IDF method and framework for text classification. Framework enables classification according to various parameters, measurement and analysis of results.
Dzenana Donko, Bruno Trstenjak
exaly   +2 more sources

Optimization of Associative Knowledge Graph using TF-IDF based Ranking Score

open access: yesApplied Sciences (Switzerland), 2020
This study proposes the optimization method of the associative knowledge graph using TF-IDF based ranking scores. The proposed method calculates TF-IDF weights in all documents and generates term ranking.
Jiwon Baek   +2 more
exaly   +3 more sources

Enhancing amharic news classification through ontology-based feature fusion and logistic regression [PDF]

open access: yesScientific Reports
Amharic, a major Semitic language of Ethiopia, remains underrepresented in natural language processing research due to limited linguistic resources.
Bayile Getu Taye   +2 more
doaj   +2 more sources

Recipe Recommendation System Using TF-IDF [PDF]

open access: yesITM Web of Conferences, 2022
A Recipe Recommendation System is being proposed in this following paper. Food recommendation is a new area, with few systems that are focus on analysing and user preferences and constraints such as ingredients available at their side being deployed in ...
Chhipa Shubham   +3 more
doaj   +1 more source

Evaluation of TF-IDF Algorithm Weighting Scheme in The Qur'an Translation Clustering with K-Means Algorithm

open access: yesJITeCS (Journal of Information Technology and Computer Science), 2021
The Al-Quran translation index issued by the Ministry of Religion can be used in text mining to search for similar patterns of Al-Quran translation. This study performs sentence grouping using the K-Means Clustering algorithm and three weighting scheme ...
M Didik R Wahyudi
doaj   +1 more source

Home - About - Disclaimer - Privacy