Feature selection by integrating document frequency with genetic algorithm for Amharic news document classification [PDF]
PeerJ Computer Science, 2022 Text classification is the process of categorizing documents based on their content into a predefined set of categories. Text classification algorithms typically represent documents as collections of words and it deals with a large number of features ...
Demeke Endalie +2 more
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Classification of movie reviews using term frequency-inverse document frequency and optimized machine learning algorithms [PDF]
PeerJ Computer Science, 2022 The Internet Movie Database (IMDb), being one of the popular online databases for movies and personalities, provides a wide range of movie reviews from millions of users.
Muhammad Zaid Naeem +5 more
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ChatGPT versus UpToDate in Preclinical Medical Education: Cross-Sectional Analysis Using Term Frequency–Inverse Document Frequency Cosine Similarity [PDF]
JMIR Medical EducationBackgroundGenerative artificial intelligence tools such as ChatGPT are increasingly used by medical students for self-directed learning. Although these models demonstrate linguistic fluency, their reliability as supplementary resources for preclinical ...
Shankar S Thiru +6 more
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An Expression Recognition Algorithm Based on Term Frequency-Inverse Document Frequency and Hybrid Loss [PDF]
Jisuanji gongcheng, 2023 Facial expressions can express people's mental activities and state of mind naturally and efficiently.They profoundly affect people's communication process.In many intelligent applications, facial expression recognition is an important basis for ...
LAN Zhengjie, WANG Lie, NIE Xiong
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Detection of Americans’ Behavior toward Islam on Facebook
Journal of ICT Research and Applications, 2023 Social network websites have become a rich place for detecting and analyzing people’s attitudes, perceptions, and feelings towards news, products, and other real-world issues.
Qusai Abuein +2 more
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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
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Deep Learning in Time-Frequency Domain for Document Layout Analysis
IEEE Access, 2021 Document layout analysis plays an important role in the area of Document Understanding. It is responsible for identifying and classifying the different components of digital documents.
Felipe Grijalva +4 more
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Journal of Applied Informatics and Computing, 2023 Helpdesk chatbots are growing in popularity due to their ability to provide help and answers to user questions quickly and effectively. Chatbot development poses several challenges, including enhancing accuracy in understanding user queries and providing
Gede Herdian Setiawan +1 more
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Vibration attenuation and dexterity of different types of protective gloves
环境与职业医学, 2022 BackgroundWearing anti-vibration gloves is a simple and effective way to prevent hand-arm vibration disease. The requirements for vibration damping gloves are varied by types of operations exposed to vibration.ObjectiveTo study the vibration attenuation ...
Bin XIAO +8 more
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A Novel Feature Selection Approach Based on Document Frequency of Segmented Term Frequency
IEEE Access, 2018 Feature selection is a very important process in text classification. It can effectively eliminate redundant features and retain feature words with strong class distinguishing ability.
Hongfang Zhou, Shuang Han, Yibin Liu
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