Results 21 to 30 of about 8,324 (219)

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

Research on Text Similarity Measurement Hybrid Algorithm with Term Semantic Information and TF-IDF Method

Advances in Multimedia, 2022
TF-IDF (term frequency-inverse document frequency) is one of the traditional text similarity calculation methods based on statistics. Because TF-IDF does not consider the semantic information of words, it cannot accurately reflect the similarity between ...
Fei Lan
doaj   +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, Ali Hakem Alsaeedi, Dhiah Al‐Shammary, Zaid Abdi Alkareem Alyasseri, Mazin Abed Mohammed, Karrar Hameed Abdulkareem, Riyadh Rahef Nuiaa, Mustafa Musa Jaber   +7 more
wiley   +1 more source

An Ensemble Classification Algorithm of Micro-Blog Sentiment Based on Feature Selection and Differential Evolution

IEEE Access, 2022
In the face of massive texts, dimensionality reduction algorithm and efficient classification model have become the key steps for sentiment classification of microblogs.
Hongchan Li, Zishuai Ma, Haodong Zhu, Yu Ma, Zhifang Chang   +4 more
doaj   +1 more source

TFDF and TF-IDF in Financial Analysis

, 2023
Abstract Textual analysis in the realm of business depends on text processing techniques borrowed mainly from information retrieval. However, it is not a viable solution capable of developing in finance. We suggest developing financial homegrown techniques for processing textual data.
MEISAM HASHEMI, MEHRAN REZAEI, MARJAN KAEDI   +2 more
openaire   +1 more source

WTL-CNN: a news text classification method of convolutional neural network based on weighted word embedding

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, Lin Zhu, Ming Wang, Xiliang Zhang, Jinming Zhang   +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, Jie Liang, Deyang Li, Hai Yu, Guoqi Liu   +4 more
doaj   +1 more source

Product Codefication Accuracy With Cosine Similarity And Weighted Term Frequency And Inverse Document Frequency (TF-IDF)

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, Sarjon Defit, Gunadi Widi Nurcahyo   +2 more
doaj   +1 more source

Cross‐Modal Denoising and Integration of Spatial Multi‐Omics Data with CANDIES

Advanced Science, EarlyView.
In this paper, we introduce CANDIES, which leverages a conditional diffusion model and contrastive learning to effectively denoise and integrate spatial multi‐omics data. We conduct extensive evaluations on diverse synthetic and real datasets, CANDIES shows superior performance on various downstream tasks, including denoising, spatial domain ...
Ye Liu, Wanpeng Zou, Yuekai Li, Jiayi Wang, Mingxuan Cai, Hongmin Cai   +5 more
wiley   +1 more source