Results 21 to 30 of about 24,248 (246)

Automatic Annotation of Images in Persian Scientific Documents Based on Text Analysis Methods

Iranian Journal of Information Processing & Management, 2022
In this paper a new method for annotating images in Persian scientific documents is suggested. Images in scientific documents contain valuable information.
Azadeh fakhrzadeh, Mohadeseh Rahnama, Jalal A Nasiri   +2 more
doaj  

Design of Geopolitical Topical Crawler Based on Classified Keyword Term Frequency Model [PDF]

Jisuanji gongcheng, 2016
To solve the no-structuring problem of Term Frequency-Inverse Document Frequency(TF-IDF) model in topical crawler,this paper proposes a novel topical crawler based on Classified Keyword Term Frequency (CKTF) model.A Webpage is divided into five parts ...
WEI Yong,HU Danlu,HAO Chenguang,OU Xiaoping
doaj   +1 more source

Deep Learning Transformer Models for Building a Comprehensive and Real-time Trauma Observatory: Development and Validation Study

JMIR AI, 2023
BackgroundPublic health surveillance relies on the collection of data, often in near-real time. Recent advances in natural language processing make it possible to envisage an automated system for extracting information from ...
Gabrielle Chenais, Cédric Gil-Jardiné, Hélène Touchais, Marta Avalos Fernandez, Benjamin Contrand, Eric Tellier, Xavier Combes, Loick Bourdois, Philippe Revel, Emmanuel Lagarde   +9 more
doaj   +1 more source

Improve the Accuracy of Support Vector Machine Using Chi Square Statistic and Term Frequency Inverse Document Frequency on Movie Review Sentiment Analysis

Scientific Journal of Informatics, 2019
Data processing can be done with text mining techniques. To process large text data is required a machine to explore opinions, including positive or negative opinions. Sentiment analysis is a process that applies text mining methods.
Ukhti Ikhsani Larasati, Much Aziz Muslim, Riza Arifudin, Alamsyah Alamsyah   +3 more
doaj   +1 more source

Document classification using term frequency-inverse document frequency and K-means clustering [PDF]

, 2022
Increased advancement in a variety of study subjects and information technologies, has increased the number of published research articles. However, researchers are facing difficulties and devote a significant time amount in locating scientific research ...
Hala A. Hashim, Al-Obaydy, Wasseem N. Ibrahem, Ahmed Adeeb Jalal, Najm, Yassen AbdelKhaleq, Jalal, Ahmed Adeeb, Wasseem N. Ibrahem Al-Obaydy, Yassen AbdelKhaleq Najm, Hashim, Hala A., Najm, Yassen AbdulKhaleq   +8 more
core   +1 more source

Using Stream Features for Instant Document Filtering [PDF]

, 2012
In this paper, we discuss how event processing technologies can be employed for real-time text stream processing and information filtering in the context of the TREC 2012 microblog task.
Wolff, Christian, Bauer, Andreas
core   +2 more sources

Text Classification Using Document-Relational Graph Convolutional Networks

IEEE Access, 2022
Graph Convolutional Networks (GCNs) have received considerable attention in the field of artificial machine intelligence (AMI) and natural language processing research because they can build more sophisticated accompanying graph structures than ...
Chongyi Liu, Xiangyu Wang, Honglei Xu
doaj   +1 more source

Hybrid Food Recommendation System using Term Frequency–Inverse Document Frequency (TF-IDF), K-Nearest Neighbors (KNN), and Tag-Based Similarity

Aviation Electronics, Information Technology, Telecommunications, Electricals, Controls
The rapid growth of the digital culinary industry increases the need for intelligent menu recommendation systems that can assist customers in making accurate and personalized choices.
Juventania Sheva Mellany, Kusnawi Kusnawi   +1 more
doaj   +1 more source

A Novel Architecture for Detecting Phishing Webpages using Cost-based Feature Selection [PDF]

Journal of Artificial Intelligence and Data Mining, 2019
Phishing is one of the luring techniques used to exploit personal information. A phishing webpage detection system (PWDS) extracts features to determine whether it is a phishing webpage or not.
A. Zangooei, V. Derhami, F. Jamshidi
doaj   +1 more source

Application of the Term Frequency-Inverse Document Frequency Weighting Scheme to the Pauline Corpus [PDF]

, 2022
The term frequency--inverse document frequency (TF-IDF) weighting scheme is applied to the text of the thirteen epistles traditionally associated with the Apostle Paul.
Newman, Richard, Van der Ventel, Brandon
core