Academic literature on the topic 'Term Frequency-Inverse Document Frequency Vectors'
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Journal articles on the topic "Term Frequency-Inverse Document Frequency Vectors"
Mohammed, Mohannad T., and Omar Fitian Rashid. "Document retrieval using term term frequency inverse sentence frequency weighting scheme." Indonesian Journal of Electrical Engineering and Computer Science 31, no. 3 (2023): 1478. http://dx.doi.org/10.11591/ijeecs.v31.i3.pp1478-1485.
Full textMohannad, T. Mohammed, and Fitian Rashid Omar. "Document retrieval using term frequency inverse sentence frequency weighting scheme." Document retrieval using term frequency inverse sentence frequency weighting scheme 31, no. 3 (2023): 1478–85. https://doi.org/10.11591/ijeecs.v31.i3.pp1478-1485.
Full textWidianto, Adi, Eka Pebriyanto, Fitriyanti Fitriyanti, and Marna Marna. "Document Similarity Using Term Frequency-Inverse Document Frequency Representation and Cosine Similarity." Journal of Dinda : Data Science, Information Technology, and Data Analytics 4, no. 2 (2024): 149–53. http://dx.doi.org/10.20895/dinda.v4i2.1589.
Full textHu, Zheng, Hua Dai, Geng Yang, Xun Yi, and Wenjie Sheng. "Semantic-Based Multi-Keyword Ranked Search Schemes over Encrypted Cloud Data." Security and Communication Networks 2022 (April 29, 2022): 1–15. http://dx.doi.org/10.1155/2022/4478618.
Full textPriyanka, Mesariya, and Madia Nidhi. "Document Ranking using Customizes Vector Method." International Journal of Trend in Scientific Research and Development 1, no. 4 (2017): 278–83. https://doi.org/10.31142/ijtsrd125.
Full textA. Nicholas, Danie, and Devi Jayanthila. "Data retrieval in cancer documents using various weighting schemes." i-manager's Journal on Information Technology 12, no. 4 (2023): 28. http://dx.doi.org/10.26634/jit.12.4.20365.
Full textMurata, Hiroshi, Takashi Onoda, and Seiji Yamada. "Comparative Analysis of Relevance for SVM-Based Interactive Document Retrieval." Journal of Advanced Computational Intelligence and Intelligent Informatics 17, no. 2 (2013): 149–56. http://dx.doi.org/10.20965/jaciii.2013.p0149.
Full textNi'mah, Ana Tsalitsatun, and Agus Zainal Arifin. "Perbandingan Metode Term Weighting terhadap Hasil Klasifikasi Teks pada Dataset Terjemahan Kitab Hadis." Rekayasa 13, no. 2 (2020): 172–80. http://dx.doi.org/10.21107/rekayasa.v13i2.6412.
Full textI Wayan Alston Argodi, Eva Yulia Puspaningrum, and Muhammad Muharrom Al Haromainy. "IMPLEMENTASI METODE TF-IDF DAN ALGORITMA NAIVE BAYES DALAM APLIKASI DIABETIC BERBASIS ANDROID." Jurnal Teknik Mesin, Elektro dan Ilmu Komputer 3, no. 2 (2023): 23–33. http://dx.doi.org/10.55606/teknik.v3i2.2009.
Full textSuhartono, Didit, and Khodirun Khodirun. "System of Information Feedback on Archive Using Term Frequency-Inverse Document Frequency and Vector Space Model Methods." IJIIS: International Journal of Informatics and Information Systems 3, no. 1 (2020): 36–42. http://dx.doi.org/10.47738/ijiis.v3i1.6.
Full textDissertations / Theses on the topic "Term Frequency-Inverse Document Frequency Vectors"
Sullivan, Daniel Edward. "Evaluation of Word and Paragraph Embeddings and Analogical Reasoning as an Alternative to Term Frequency-Inverse Document Frequency-based Classification in Support of Biocuration." Diss., Virginia Tech, 2016. http://hdl.handle.net/10919/80572.
Full textRegard, Viktor. "Studying the effectiveness of dynamic analysis for fingerprinting Android malware behavior." Thesis, Linköpings universitet, Databas och informationsteknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-163090.
Full textFan, Fang-Syuan, and 范芳瑄. "Classified Term Frequency-Inverse Document Frequency technique applied to school regulationsClassified Term Frequency-Inverse Document Frequency technique applied to school regulations." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/6hb936.
Full textLin, Jun-liang, and 林俊良. "A New Auto Document Category System by Using Google N-gram and Probability based Term Frequency and Inverse Category Frequency." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/20409545542311421955.
Full textCosta, Joao Mario Goncalves da. "Classificação automática de páginas web usando features visuais." Master's thesis, 2014. http://hdl.handle.net/10316/40401.
Full textBooks on the topic "Term Frequency-Inverse Document Frequency Vectors"
Shi, Feng. Learn About Term Frequency–Inverse Document Frequency in Text Analysis in R With Data From How ISIS Uses Twitter Dataset (2016). SAGE Publications, Ltd., 2019. http://dx.doi.org/10.4135/9781526489012.
Full textShi, Feng. Learn About Term Frequency–Inverse Document Frequency in Text Analysis in Python With Data From How ISIS Uses Twitter Dataset (2016). SAGE Publications, Ltd., 2019. http://dx.doi.org/10.4135/9781526498038.
Full textBook chapters on the topic "Term Frequency-Inverse Document Frequency Vectors"
Kumar, Mukesh, and Renu Vig. "Term-Frequency Inverse-Document Frequency Definition Semantic (TIDS) Based Focused Web Crawler." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29216-3_5.
Full textQuan, Do Viet, and Phan Duy Hung. "Application of Customized Term Frequency-Inverse Document Frequency for Vietnamese Document Classification in Place of Lemmatization." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-68154-8_37.
Full textRajagukguk, Novita, I. Putu Eka Nila Kencana, and I. G. N. Lanang Wijaya Kusuma. "Application of Term Frequency - Inverse Document Frequency in The Naive Bayes Algorithm For ChatGPT User Sentiment Analysis." In Advances in Computer Science Research. Atlantis Press International BV, 2024. http://dx.doi.org/10.2991/978-94-6463-413-6_4.
Full textMuppala, Gurusai, and T. Devi. "Comparison of accuracy for rapid automatic keyword extraction algorithm with term frequency inverse document frequency to recast giant text into charts." In Applications of Mathematics in Science and Technology. CRC Press, 2025. https://doi.org/10.1201/9781003606659-100.
Full textNagaraj, Nagendra, and Chandra J. "Sentence Classification using Machine Learning with Term Frequency–Inverse Document Frequency with N-Gram." In New Frontiers in Communication and Intelligent Systems. Soft Computing Research Society, 2021. http://dx.doi.org/10.52458/978-81-95502-00-4-35.
Full textTardelli Adalberto O., Anção Meide S., Packer Abel L., and Sigulem Daniel. "An implementation of the Trigram Phrase Matching method for text similarity problems." In Studies in Health Technology and Informatics. IOS Press, 2004. https://doi.org/10.3233/978-1-60750-946-2-43.
Full textAnilkumar, Munikrishnappa, Manasa Nagabhushanam, and Mallieswari R. "Topic Modelling of India’s Digital Healthcare Research Trend." In Applied Intelligence and Computing. Soft Computing Research Society, 2024. http://dx.doi.org/10.56155/978-81-955020-9-7-18.
Full textSouza de Oliveira, Raphael, and Erick Giovani Sperandio Nascimento. "Clustering by Similarity of Brazilian Legal Documents Using Natural Language Processing Approaches." In Artificial Intelligence. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.99875.
Full textHadi, Setiawan, and Paquita Putri Ramadhani. "Text Classification on the Instagram Caption Using Support Vector Machine." In Artificial Intelligence. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.99684.
Full text"Term Frequency by Inverse Document Frequency." In Encyclopedia of Database Systems. Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-39940-9_3784.
Full textConference papers on the topic "Term Frequency-Inverse Document Frequency Vectors"
Liu, Fengjuan. "Japanese Dependency Analysis using Multi-Kernel Support Vector Machine based on Term Frequency and Inverse Document Frequency." In 2024 International Conference on Integrated Intelligence and Communication Systems (ICIICS). IEEE, 2024. https://doi.org/10.1109/iciics63763.2024.10860205.
Full textIslavath, Srinivas, and C. Rohith Bhat. "Uniform Resource Locator Phishing in Real Time Scenario Predicted Using Novel Term Frequency-Inverse Document Frequency +N Gram in Comparison with Support Vector Machine Algorithm." In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT). IEEE, 2024. http://dx.doi.org/10.1109/icccnt61001.2024.10725919.
Full textLubis, Hasby Sahendri, Mahyuddin K. M. Nasution, and Amalia Amalia. "Performance of Term Frequency - Inverse Document Frequency and K-Means in Government Service Identification." In 2024 4th International Conference of Science and Information Technology in Smart Administration (ICSINTESA). IEEE, 2024. http://dx.doi.org/10.1109/icsintesa62455.2024.10748106.
Full textWen, Xiaojiao. "Student Grade Prediction and Classification based on Term Frequency-Inverse Document Frequency with Random Forest." In 2024 First International Conference on Software, Systems and Information Technology (SSITCON). IEEE, 2024. https://doi.org/10.1109/ssitcon62437.2024.10796287.
Full textBharattej R, Rana Veer Samara Sihman, Prashanth V, Haideer Alabdeli, Sunaina Sangeet Thottan, and S. Ananthi. "Modified Term Frequency and Inverse Document Frequency with Optimized Deep Learning Algorithm based Fake News Detection." In 2025 International Conference on Intelligent Systems and Computational Networks (ICISCN). IEEE, 2025. https://doi.org/10.1109/iciscn64258.2025.10934578.
Full textZen, Bita Parga, Irwan Susanto, Khofifah Putriyani, and Sintiya. "Automatic document classification for tempo news articles about covid 19 based on term frequency, inverse document frequency (TF-IDF), and Vector Space Model (VSM)." In THE 8TH INTERNATIONAL CONFERENCE ON TECHNOLOGY AND VOCATIONAL TEACHERS 2022. AIP Publishing, 2024. http://dx.doi.org/10.1063/5.0212036.
Full textPatel, Ankitkumar, and Kevin Meehan. "Fake News Detection on Reddit Utilising CountVectorizer and Term Frequency-Inverse Document Frequency with Logistic Regression, MultinominalNB and Support Vector Machine." In 2021 32nd Irish Signals and Systems Conference (ISSC). IEEE, 2021. http://dx.doi.org/10.1109/issc52156.2021.9467842.
Full textSchofield, Matthew, Gulsum Alicioglu, Russell Binaco, et al. "Convolutional Neural Network for Malware Classification Based on API Call Sequence." In 8th International Conference on Artificial Intelligence and Applications (AIAP 2021). AIRCC Publishing Corporation, 2021. http://dx.doi.org/10.5121/csit.2021.110106.
Full textPutri Ratna, Anak Agung, Aaliyah Kaltsum, Lea Santiar, Hanifah Khairunissa, Ihsan Ibrahim, and Prima Dewi Purnamasari. "Term Frequency-Inverse Document Frequency Answer Categorization with Support Vector Machine on Automatic Short Essay Grading System with Latent Semantic Analysis for Japanese Language." In 2019 International Conference on Electrical Engineering and Computer Science (ICECOS). IEEE, 2019. http://dx.doi.org/10.1109/icecos47637.2019.8984530.
Full textCarvalho, Hevelyn Sthefany Lima de, and Vinícius R. P. Borges. "A Comparative Study of Text Document Representation Approaches Using Point Placement-based Visualizations." In Anais Estendidos da Conference on Graphics, Patterns and Images. Sociedade Brasileira de Computação - SBC, 2021. http://dx.doi.org/10.5753/sibgrapi.est.2021.20035.
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