Survey on supervised machine learning techniques for automatic text classification

[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 .