Results 1 to 10 of about 20,660 (117)
IEEE Access, 2021 Sentiment classification is increasingly used to automatically identify a positive or negative sentiment in a text review. In classification, feature selection had always been a critical and challenging problem.
Nur Syafiqah Mohd Nafis, Suryanti Awang
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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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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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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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Domain-Flux Botnet Detection Method with Fusion of Character and Word Dual-channel [PDF]
Jisuanji kexue, 2023 Domain-Flux is a technique for keeping a malicious botnet in operation by constantly changing the domain name of the botnet owner's command and control(C&C) server,which can effectively evade the detection of network security devices.Aming at the ...
LI Xiaodong, SONG Yuanfeng, LI Yuqiang
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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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Sentiment Analysis and Twitter Social Media Visualization Regarding the Omnibus Law Draft
CoreID Journal, 2023 This study will classify Twitter users' positive and negative opinions about the omnibus method using a frequency-inverse document frequency algorithm and a multi-layer perceptron method.
Fadli Emsa Zamani
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Rekayasa, 2020 Hadis adalah sumber rujukan agama Islam kedua setelah Al-Qur’an. Teks Hadis saat ini diteliti dalam bidang teknologi untuk dapat ditangkap nilai-nilai yang terkandung di dalamnya secara pegetahuan teknologi. Dengan adanya penelitian terhadap Kitab Hadis,
Ana Tsalitsatun Ni'mah +1 more
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Comprehension of polarity of articles by citation sentiment analysis using TF-IDF and ML classifiers [PDF]
PeerJ Computer Science, 2022 Sentiment analysis has been researched extensively during the last few years, however, the sentiment analysis of citations in a research article is an unexplored research area. Sentiment analysis of citations can provide new applications in bibliometrics
Musarat Karim +6 more
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A New Term Frequency with Gaussian Technique for Text Classification and Sentiment Analysis
Journal of ICT Research and Applications, 2021 This paper proposes a new term frequency with a Gaussian technique (TF-G) to classify the risk of suicide from Thai clinical notes and to perform sentiment analysis based on Thai customer reviews and English tweets of travelers that use US airline ...
Vuttichai Vichianchai +1 more
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