Статті в журналах з теми "Text document classification"
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Mukherjee, Indrajit, Prabhat Kumar Mahanti, Vandana Bhattacharya, and Samudra Banerjee. "Text classification using document-document semantic similarity." International Journal of Web Science 2, no. 1/2 (2013): 1. http://dx.doi.org/10.1504/ijws.2013.056572.
Cheng, Betty Yee Man, Jaime G. Carbonell, and Judith Klein-Seetharaman. "Protein classification based on text document classification techniques." Proteins: Structure, Function, and Bioinformatics 58, no. 4 (January 11, 2005): 955–70. http://dx.doi.org/10.1002/prot.20373.
Yao, Liang, Chengsheng Mao, and Yuan Luo. "Graph Convolutional Networks for Text Classification." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 7370–77. http://dx.doi.org/10.1609/aaai.v33i01.33017370.
Kim, Jiyun, and Han-joon Kim. "Multidimensional Text Warehousing for Automated Text Classification." Journal of Information Technology Research 11, no. 2 (April 2018): 168–83. http://dx.doi.org/10.4018/jitr.2018040110.
P, Ashokkumar, Siva Shankar G, Gautam Srivastava, Praveen Kumar Reddy Maddikunta, and Thippa Reddy Gadekallu. "A Two-stage Text Feature Selection Algorithm for Improving Text Classification." ACM Transactions on Asian and Low-Resource Language Information Processing 20, no. 3 (May 2021): 1–19. http://dx.doi.org/10.1145/3425781.
Zheng, Jianming, Yupu Guo, Chong Feng, and Honghui Chen. "A Hierarchical Neural-Network-Based Document Representation Approach for Text Classification." Mathematical Problems in Engineering 2018 (2018): 1–10. http://dx.doi.org/10.1155/2018/7987691.
Lee, Kangwook, Sanggyu Han, and Sung-Hyon Myaeng. "A discourse-aware neural network-based text model for document-level text classification." Journal of Information Science 44, no. 6 (December 4, 2017): 715–35. http://dx.doi.org/10.1177/0165551517743644.
Rahamat Basha, S., J. Keziya Rani, and J. J. C. Prasad Yadav. "A Novel Summarization-based Approach for Feature Reduction Enhancing Text Classification Accuracy." Engineering, Technology & Applied Science Research 9, no. 6 (December 1, 2019): 5001–5. http://dx.doi.org/10.48084/etasr.3173.
M.Shaikh, Mustafa, Ashwini A. Pawar, and Vibha B. Lahane. "Pattern Discovery Text Mining for Document Classification." International Journal of Computer Applications 117, no. 1 (May 20, 2015): 6–12. http://dx.doi.org/10.5120/20516-2101.
Elhadad, Mohamed, Khaled Badran, and Gouda Salama. "Towards Ontology-Based web text Document Classification." Journal of Engineering Science and Military Technologies 17, no. 17 (April 1, 2017): 1–8. http://dx.doi.org/10.21608/ejmtc.2017.21564.
Sinoara, Roberta A., Jose Camacho-Collados, Rafael G. Rossi, Roberto Navigli, and Solange O. Rezende. "Knowledge-enhanced document embeddings for text classification." Knowledge-Based Systems 163 (January 2019): 955–71. http://dx.doi.org/10.1016/j.knosys.2018.10.026.
Elhadad, Mohamed, Khaled Badran, and Gouda Salama. "Towards Ontology-Based web text Document Classification." International Conference on Aerospace Sciences and Aviation Technology 17, AEROSPACE SCIENCES (April 1, 2017): 1–8. http://dx.doi.org/10.21608/asat.2017.22749.
Anne, Chaitanya, Avdesh Mishra, Md Tamjidul Hoque, and Shengru Tu. "Multiclass patent document classification." Artificial Intelligence Research 7, no. 1 (December 15, 2017): 1. http://dx.doi.org/10.5430/air.v7n1p1.
Chiraratanasopha, Boonthida, Thanaruk Theeramunkong, and Salin Boonbrahm. "Hierarchical text classification using Relative Inverse Document Frequency." ECTI Transactions on Computer and Information Technology (ECTI-CIT) 15, no. 2 (April 21, 2021): 166–76. http://dx.doi.org/10.37936/ecti-cit.2021152.240515.
Kumari, Lalitha, and Ch Satyanarayana. "An novel cluster based feature selection and document classification model on high dimension trec data." International Journal of Engineering & Technology 7, no. 1.1 (December 21, 2017): 466. http://dx.doi.org/10.14419/ijet.v7i1.1.10146.
Rahamat Basha, S., and J. K. Rani. "A Comparative Approach of Dimensionality Reduction Techniques in Text Classification." Engineering, Technology & Applied Science Research 9, no. 6 (December 1, 2019): 4974–79. http://dx.doi.org/10.48084/etasr.3146.
Wang, Bohan, Rui Qi, Jinhua Gao, Jianwei Zhang, Xiaoguang Yuan, and Wenjun Ke. "Mining the Frequent Patterns of Named Entities for Long Document Classification." Applied Sciences 12, no. 5 (February 28, 2022): 2544. http://dx.doi.org/10.3390/app12052544.
Golub, Koraljka. "Automatic Subject Indexing of Text." KNOWLEDGE ORGANIZATION 46, no. 2 (2019): 104–21. http://dx.doi.org/10.5771/0943-7444-2019-2-104.
Aubaid, Asmaa M., and Alok Mishra. "A Rule-Based Approach to Embedding Techniques for Text Document Classification." Applied Sciences 10, no. 11 (June 10, 2020): 4009. http://dx.doi.org/10.3390/app10114009.
Hong, Jiwon, Dongho Jeong, and Sang-Wook Kim. "Classifying Malicious Documents on the Basis of Plain-Text Features: Problem, Solution, and Experiences." Applied Sciences 12, no. 8 (April 18, 2022): 4088. http://dx.doi.org/10.3390/app12084088.
Endalie, Demeke, Getamesay Haile, and Wondmagegn Taye Abebe. "Feature selection by integrating document frequency with genetic algorithm for Amharic news document classification." PeerJ Computer Science 8 (April 25, 2022): e961. http://dx.doi.org/10.7717/peerj-cs.961.
Puri, Shalini, and Satya Prakash Singh. "Hindi Text Document Classification System Using SVM and Fuzzy." International Journal of Rough Sets and Data Analysis 5, no. 4 (October 2018): 1–31. http://dx.doi.org/10.4018/ijrsda.2018100101.
Ayogu, I. I. "Exploring multinomial naïve Bayes for Yorùbá text document classification." Nigerian Journal of Technology 39, no. 2 (July 16, 2020): 528–35. http://dx.doi.org/10.4314/njt.v39i2.23.
Ernawati, Iin. "NAIVE BAYES CLASSIFIER DAN SUPPORT VECTOR MACHINE SEBAGAI ALTERNATIF SOLUSI UNTUK TEXT MINING." Jurnal Teknologi Informasi dan Pendidikan 12, no. 2 (December 10, 2019): 32–38. http://dx.doi.org/10.24036/tip.v12i2.219.
Girgis, M. R., and A. A. Aly. "A Feature Selection and Classification Technique for Text Categorization." International Journal of Cooperative Information Systems 12, no. 04 (December 2003): 441–54. http://dx.doi.org/10.1142/s0218843003000826.
Reddy, S. Sai Satyanarayana. "A Novel Document Weighted Approach for Text Classification." Journal of Computers 15, no. 3 (2020): 105–13. http://dx.doi.org/10.17706/jcp.15.3.105-113.
Harish, B. S. "Text Document Classification: An Approach Based on Indexing." International Journal of Data Mining & Knowledge Management Process 2, no. 1 (January 31, 2012): 43–62. http://dx.doi.org/10.5121/ijdkp.2012.2104.
Subba, Sanjeev, Nawaraj Paudel, and Tej Bahadur Shahi. "Nepali Text Document Classification Using Deep Neural Network." Tribhuvan University Journal 33, no. 1 (June 30, 2019): 11–22. http://dx.doi.org/10.3126/tuj.v33i1.28677.
Wen, Jiahui, Guangda Zhang, Hongyun Zhang, Wei Yin, and Jingwei Ma. "Speculative text mining for document-level sentiment classification." Neurocomputing 412 (October 2020): 52–62. http://dx.doi.org/10.1016/j.neucom.2020.06.024.
Ke, Weimao. "Least information document representation for automated text classification." Proceedings of the American Society for Information Science and Technology 49, no. 1 (2012): 1–10. http://dx.doi.org/10.1002/meet.14504901118.
Wijewickrema, PKCM, and RCG Gamage. "An enhanced text classifier for automatic document classification." Journal of the University Librarians Association of Sri Lanka 16, no. 2 (February 4, 2013): 138. http://dx.doi.org/10.4038/jula.v16i2.5205.
Yatsko, V. A. "A New Method of Automatic Text Document Classification." Automatic Documentation and Mathematical Linguistics 55, no. 3 (May 2021): 122–33. http://dx.doi.org/10.3103/s0005105521030080.
Jalal, Ahmed Adeeb, and Basheer Husham Ali. "Text documents clustering using data mining techniques." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 1 (February 1, 2021): 664. http://dx.doi.org/10.11591/ijece.v11i1.pp664-670.
CS, Vijayashree, Shobha Rani, and Vasudev T. "An Unsupervised Classification Technique for Detection of Flipped Orientations in Document Images." International Journal of Electrical and Computer Engineering (IJECE) 6, no. 5 (October 1, 2016): 2140. http://dx.doi.org/10.11591/ijece.v6i5.10785.
CS, Vijayashree, Shobha Rani, and Vasudev T. "An Unsupervised Classification Technique for Detection of Flipped Orientations in Document Images." International Journal of Electrical and Computer Engineering (IJECE) 6, no. 5 (October 1, 2016): 2140. http://dx.doi.org/10.11591/ijece.v6i5.pp2140-2149.
Jia, Longjia, and Bangzuo Zhang. "A new document representation based on global policy for supervised term weighting schemes in text categorization." Mathematical Biosciences and Engineering 19, no. 5 (2022): 5223–40. http://dx.doi.org/10.3934/mbe.2022245.
Martinčić-Ipšić, Sanda, Tanja Miličić, and and Todorovski. "The Influence of Feature Representation of Text on the Performance of Document Classification." Applied Sciences 9, no. 4 (February 20, 2019): 743. http://dx.doi.org/10.3390/app9040743.
Oliveira Gonçalves, Carlos Adriano, Rui Camacho, Célia Talma Gonçalves, Adrián Seara Vieira, Lourdes Borrajo Diz, and Eva Lorenzo Iglesias. "Classification of Full Text Biomedical Documents: Sections Importance Assessment." Applied Sciences 11, no. 6 (March 17, 2021): 2674. http://dx.doi.org/10.3390/app11062674.
Choo, Wou Onn, Lam Hong Lee, Yen Pei Tay, Khang Wen Goh, Dino Isa, and Suliman Mohamed Fati. "Automatic Folder Allocation System for Electronic Text Document Repositories Using Enhanced Bayesian Classification Approach." International Journal of Intelligent Information Technologies 15, no. 2 (April 2019): 1–19. http://dx.doi.org/10.4018/ijiit.2019040101.
Kim, Byoungwook, Yeongwook Yang, Ji Su Park, and Hong-Jun Jang. "A Convolution Neural Network-Based Representative Spatio-Temporal Documents Classification for Big Text Data." Applied Sciences 12, no. 8 (April 11, 2022): 3843. http://dx.doi.org/10.3390/app12083843.
Yan, Yi-Fan, Sheng-Jun Huang, Shaoyi Chen, Meng Liao, and Jin Xu. "Active Learning with Query Generation for Cost-Effective Text Classification." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 04 (April 3, 2020): 6583–90. http://dx.doi.org/10.1609/aaai.v34i04.6133.
Ali, Zuhair. "TEXT CLASSIFICATION BASED ON FUZZY RADIAL BASIS FUNCTION." Iraqi Journal for Computers and Informatics 45, no. 1 (May 1, 2019): 11–14. http://dx.doi.org/10.25195/ijci.v45i1.40.
Tawdar, A. P., M. S. Bewoor, and S. H. Patil. "Incremental Approach of Neural Network in Back Propagation Algorithms for Web Data Mining." IAES International Journal of Artificial Intelligence (IJ-AI) 6, no. 2 (June 1, 2017): 74. http://dx.doi.org/10.11591/ijai.v6.i2.pp74-78.
Saad, Yaqeen, and Khaled Shaker. "Support Vector Machine and Back Propagation Neural Network Approach for Text Classification." Journal of University of Human Development 3, no. 2 (June 30, 2017): 869. http://dx.doi.org/10.21928/juhd.v3n2y2017.pp869-876.
Alsmadi, Issa, and Keng Hoon Gan. "Review of short-text classification." International Journal of Web Information Systems 15, no. 2 (June 17, 2019): 155–82. http://dx.doi.org/10.1108/ijwis-12-2017-0083.
et al., Nohuddin. "Content analytics based on random forest classification technique: An empirical evaluation using online news dataset." International Journal of ADVANCED AND APPLIED SCIENCES 8, no. 2 (February 2021): 77–84. http://dx.doi.org/10.21833/ijaas.2021.02.011.
Onan, Aytug, Hasan Bulut, and Serdar Korukoglu. "An improved ant algorithm with LDA-based representation for text document clustering." Journal of Information Science 43, no. 2 (March 1, 2016): 275–92. http://dx.doi.org/10.1177/0165551516638784.
Puri, Shalini, and Satya Prakash Singh. "A Fuzzy Matching based Image Classification System for Printed and Handwritten Text Documents." Journal of Information Technology Research 13, no. 2 (April 2020): 155–94. http://dx.doi.org/10.4018/jitr.2020040110.
Dau, Hoan Manh, and Ning Xu. "Text Document Classification Using Support Vector Machine with Feature Selection Using Singular Value Decomposition." Advanced Materials Research 905 (April 2014): 528–32. http://dx.doi.org/10.4028/www.scientific.net/amr.905.528.
BASILI, ROBERTO, and ALESSANDRO MOSCHITTI. "INTELLIGENT NLP-DRIVEN TEXT CLASSIFICATION." International Journal on Artificial Intelligence Tools 11, no. 03 (September 2002): 389–423. http://dx.doi.org/10.1142/s0218213002000952.