Results of LR with TF-IDF, TFPOS-IDF, W2V-TFPOSIDF for the collected dataset.
, 2020 Results of LR with TF-IDF, TFPOS-IDF, W2V-TFPOSIDF for the collected dataset.
Nazlia Omar (801714) +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
Synonym‐based multi‐keyword ranked search with secure k‐NN in 6G network
IET Networks, EarlyView., 2022 Abstract Sixth Generation (6G) integrates the next generation communication systems such as maritime, terrestrial, and aerial to offer robust network and massive device connectivity with ultra‐low latency requirement. The cutting edge technologies such as artificial intelligence, quantum machine learning, and millimetre enable hyper‐connectivity to ...
Deebak Bakkiam David, Fadi Al‐Turjman
wiley +1 more source
Results of SVM with TF-IDF, TFPOS-IDF, W2V-TFPOSIDF for the collected dataset.
, 2020 Results of SVM with TF-IDF, TFPOS-IDF, W2V-TFPOSIDF for the collected dataset.
Nazlia Omar (801714) +1 more
core +1 more source
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
Example of weighting method using classical TF-IDF and modified TFPOS-IDF.
, 2020 Example of weighting method using classical TF-IDF and modified TFPOS-IDF.
Nazlia Omar (801714) +1 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
TF-IDF based decomposition of research problems in the domain of EBPR, ordered by cluster size.
, 2019 TF-IDF based decomposition of research problems in the domain of EBPR, ordered by cluster size.
Tim Rogers (6685226) +3 more
core +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