Results 31 to 40 of about 136,207 (260)
Trigonometric words ranking model for spam message classification
IET Networks, EarlyView., 2022 Abstract The significant increase in the volume of fake (spam) messages has led to an urgent need to develop and implement a robust anti‐spam method. Several of the current anti‐spam systems depend mainly on the word order of the message in determining the spam message, which results in the system's inability to predict the correct type of message when
Suha Mohammed Hadi +7 more
wiley +1 more source
TF-IDF parameter descriptions.
, 2019 TF-IDF parameter descriptions.
Hsien-Hsiu Chen (6804179) +1 more
core +1 more source
TF-IDF-Enhanced Genetic Algorithm Untuk Extractive Automatic Text Summarization [PDF]
, 2016 AbstrakPenelitian ini mengusulkan sebuah implementasi terkait dengan automasi peringkasan teks bertipe ekstraktif dengan menggunakan metode TF-IDF-EGA. Dimana dalam permasalahan peringkasan teks dibutuhkan suatu solusi untuk meringkas teks dengan kalimat
Fhadli, Muhammad +9 more
core +1 more source
Análise assintótica de algoritmo para geração de matriz termo-documento contendo TF-IDF
, 2016 Este documento apresenta um estudo sobre complexidade computacional da criação de uma matriz documento-termo contendo valores de TF-IDF. Apresentamos conceitos de análise assintótica e definições acerca de TF-IDF para descrevemos o algoritmo a ser ...
Allan de Barcelos Silva (3339291) +1 more
core +1 more source
Connection Science, 2022 The word embedding model word2vec tends to ignore the importance of a single word to the entire document, which affects the accuracy of the news text classification method.
Weidong Zhao +4 more
doaj +1 more source
Monitoring Newly Adopted Technologies Using Keyword Based Analysis of Cited Patents
IEEE Access, 2017 This paper proposes a method that can reliably monitor the adoption of existing technology by term frequency-inverse document frequency (TF-IDF) and K-means clustering using cited patents. TF-IDF and K-means clustering can extract patent information when
Sunghyun Nam, Kwangsoo Kim
doaj +1 more source
Hot Topic Detection Based on a Refined TF-IDF Algorithm
IEEE Access, 2019 In this paper, we propose a refined term frequency inversed document frequency (TF-IDF) algorithm called TA TF-IDF to find hot terms, based on time distribution information and user attention.
Zhiliang Zhu +4 more
doaj +1 more source
Journal of Applied Engineering and Technological Science, 2021 In the SiPaGa application, the codefication search process is still inaccurate, so OPD often make mistakes in choosing goods codes. So we need Cosine Similarity and TF-IDF methods that can improve the accuracy of the search. Cosine Similarity is a method
Sintia Sintia +2 more
doaj +1 more source
Investigating Verbal Intelligence Using the TF-IDF Approach
Proceedings of the Language Resources and Evaluation Conference, 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 +3 more sources
tf-idf metric iKeyCriteria (dataset)
, 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)
core +1 more source