Survey on supervised machine learning techniques for automatic text classification
暂无分享,去创建一个
[1] Shuo Xu,et al. Bayesian Naïve Bayes classifiers to text classification , 2018, J. Inf. Sci..
[2] Jianjun Hu,et al. Patent Keyword Extraction Algorithm Based on Distributed Representation for Patent Classification , 2018, Entropy.
[3] Bilel Elayeb,et al. ANT Corpus: An Arabic News Text Collection for Textual Classification , 2017, 2017 IEEE/ACS 14th International Conference on Computer Systems and Applications (AICCSA).
[4] Donald E. Brown,et al. HDLTex: Hierarchical Deep Learning for Text Classification , 2017, 2017 16th IEEE International Conference on Machine Learning and Applications (ICMLA).
[5] Krys J. Kochut,et al. A Brief Survey of Text Mining: Classification, Clustering and Extraction Techniques , 2017, ArXiv.
[6] Abdelouahed Gherbi,et al. Detecting Fake Reviews through Sentiment Analysis Using Machine Learning Techniques , 2017 .
[7] A. Tilve,et al. A SURVEY ON MACHINE LEARNING TECHNIQUES FOR TEXT CLASSIFICATION , 2017 .
[8] Yu-N Cheah,et al. Improving TF-IDF with Singular Value Decomposition (SVD) for Feature Extraction on Twitter , 2017 .
[9] Tangina Sultana,et al. Enhancing Performance of naïve bayes in text classification by introducing an extra weight using less number of training examples , 2016, 2016 International Workshop on Computational Intelligence (IWCI).
[10] Antonio Moreno,et al. Text Analytics: the convergence of Big Data and Artificial Intelligence , 2016, Int. J. Interact. Multim. Artif. Intell..
[11] Xiang Zhang,et al. Character-level Convolutional Networks for Text Classification , 2015, NIPS.
[12] Jacek Mazurkiewicz,et al. Natural Language Processing Methods Used for Automatic Prediction Mechanism of Related Phenomenon , 2015, ICAISC.
[13] Duncan Fyfe Gillies,et al. A Review of Feature Selection and Feature Extraction Methods Applied on Microarray Data , 2015, Adv. Bioinformatics.
[14] D. Thenmozhi,et al. Machine Learning Approach to Document Classification using Concept based Features , 2015 .
[15] Jun Zhao,et al. Recurrent Convolutional Neural Networks for Text Classification , 2015, AAAI.
[16] Andreas Schmidt,et al. Data mining and linked open data – New perspectives for data analysis in environmental research , 2015 .
[17] Rajiv Munjal,et al. Role of Support Vector Machine , Fuzzy K-Means and Naive Bayes Classification in Intrusion Detection System , 2015 .
[18] Thierson Couto,et al. On Efficient Meta-Level Features for Effective Text Classification , 2014, CIKM.
[19] Nitesh Naik,et al. Performance Enhancement of K Nearest Neighbor Classification Algorithm Using 8-Bin Hashing and Feature Weighting , 2014, ICONIAAC '14.
[20] Jordán Pascual Espada,et al. Machine learning approach for text and document mining , 2014, ArXiv.
[21] Bruno Trstenjak,et al. on Intelligent Manufacturing and Automation , 2013 KNN with TF-IDF Based Framework for Text Categorization , 2014 .
[22] V. Sharmila,et al. PATTERN BASED CLASSIFICATION FOR TEXT MINING USING FUZZY SIMILARITY ALGORITHM , 2014 .
[23] Ramachandra Rao Kurada,et al. Novel text categorization by amalgamation of augmented k-nearest neighborhood classification and k-medoids clustering , 2013, ArXiv.
[24] Wei Peng,et al. Sentiment and topic analysis on social media: a multi-task multi-label classification approach , 2013, WebSci.
[25] Khushbu Khamar. Short Text Classification Using kNN Based on Distance Function , 2013 .
[26] Cigdem,et al. An Opinion Mining Task in Turkish Language: A Model for Assigning Opinions in Turkish Blogs to the Polarities , 2013 .
[27] A. T. Sadiq,et al. Hybrid Intelligent Technique for Text Categorization , 2012, 2012 International Conference on Advanced Computer Science Applications and Technologies (ACSAT).
[28] Deepika Sharma,et al. Stemming Algorithms: A Comparative Study and their Analysis , 2012 .
[29] Ashish Bindra,et al. SocialLDA: Scalable Topic Modeling in Social Networks , 2012 .
[30] Motoaki Kawanabe,et al. Machine Learning in Non-Stationary Environments - Introduction to Covariate Shift Adaptation , 2012, Adaptive computation and machine learning.
[31] K. D. Chinchkhede,et al. k-NN, quantum mechanical and field similarity based analysis of xanthone derivatives as α-glucosidase inhibitors , 2012, Medicinal Chemistry Research.
[32] Shengyi Jiang,et al. An improved K-nearest-neighbor algorithm for text categorization , 2012, Expert Syst. Appl..
[33] Muhammad Rafi,et al. Comparing SVM and naïve Bayes classifiers for text categorization with Wikitology as knowledge enrichment , 2011, 2011 IEEE 14th International Multitopic Conference.
[34] Xiaoming Xu,et al. An Improved Feature Weighting Method for Text Classification , 2011 .
[35] Mengen Chen,et al. Short Text Classification Improved by Learning Multi-Granularity Topics , 2011, IJCAI.
[36] Zoran Bosnic,et al. Ontology-based multi-label classification of economic articles , 2011, Comput. Sci. Inf. Syst..
[37] Congfu Xu,et al. Combining KNN algorithm and other classifiers , 2010, 9th IEEE International Conference on Cognitive Informatics (ICCI'10).
[38] S. M. Kamruzzaman,et al. A hybrid learning algorithm for text classification , 2010, ArXiv.
[39] K. Thanushkodi,et al. An Improved k-Nearest Neighbor Classification Using Genetic Algorithm , 2010 .
[40] Pan Hao,et al. Application for Web Text Categorization Based on Support Vector Machine , 2009, 2009 International Forum on Computer Science-Technology and Applications.
[41] Marcus A. Magnor,et al. Combining automated analysis and visualization techniques for effective exploration of high-dimensional data , 2009, 2009 IEEE Symposium on Visual Analytics Science and Technology.
[42] Brian D. Davison,et al. Web page classification: Features and algorithms , 2009, CSUR.
[43] Pedro Larrañaga,et al. A review of feature selection techniques in bioinformatics , 2007, Bioinform..
[44] Mor Naaman,et al. HT06, tagging paper, taxonomy, Flickr, academic article, to read , 2006, HYPERTEXT '06.
[45] Fabrizio Sebastiani. Classification of Text, Automatic , 2006 .
[46] Zhaohui Wu,et al. Multi-label Text Categorization Using K-Nearest Neighbor Approach with M-Similarity , 2005, SPIRE.
[47] Yaakov HaCohen-Kerner,et al. Automatic Extraction and Learning of Keyphrases from Scientific Articles , 2005, CICLing.
[48] Sotiris Kotsiantis,et al. Text Classification Using Machine Learning Techniques , 2005 .
[49] Fabrizio Sebastiani,et al. Supervised Term Weighting for Automated Text Categorization (extended version) , 2004 .
[50] Mitsuru Ishizuka,et al. Keyword extraction from a single document using word co-occurrence statistical information , 2004, Int. J. Artif. Intell. Tools.
[51] Shiwen Yu,et al. An Improved k-Nearest Neighbor Algorithm for Text Categorization , 2003, ArXiv.
[52] Fabrizio Sebastiani,et al. Supervised term weighting for automated text categorization , 2003, SAC '03.
[53] Jong-Hyeok Lee,et al. Text categorization based on k-nearest neighbor approach for Web site classification , 2003, Inf. Process. Manag..
[54] José M. Castaño. Computational Linguistics and Intelligent Text Processing , 2003, Lecture Notes in Computer Science.
[55] Jason D. M. Rennie,et al. Improving Multiclass Text Classification with the Support Vector Machine , 2001 .
[56] Vipin Kumar,et al. Text Categorization Using Weight Adjusted k-Nearest Neighbor Classification , 2001, PAKDD.
[57] Jiawei Han,et al. Data Mining: Concepts and Techniques , 2000 .
[58] Vladimir N. Vapnik,et al. The Nature of Statistical Learning Theory , 2000, Statistics for Engineering and Information Science.
[59] Susan T. Dumais,et al. A Bayesian Approach to Filtering Junk E-Mail , 1998, AAAI 1998.
[60] James T. Kwok,et al. Automated Text Categorization Using Support Vector Machine , 1998, ICONIP.
[61] Christopher J. C. Burges,et al. Simplified Support Vector Decision Rules , 1996, ICML.
[62] J. L. Hodges,et al. Discriminatory Analysis - Nonparametric Discrimination: Consistency Properties , 1989 .