On the use of text classification methods for text summarisation

[1]  Thorsten Joachims,et al.  Making large scale SVM learning practical , 1998 .

[2]  Susan T. Dumais,et al.  Improving information retrieval using latent semantic indexing , 1988 .

[3]  Kathleen F. McCoy,et al.  Efficiently Computed Lexical Chains as an Intermediate Representation for Automatic Text Summarization , 2002, CL.

[4]  John Elder,et al.  Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications , 2012 .

[5]  Alan Radford,et al.  A Semi-Automated Approach to Building Text Summarisation Classifiers , 2012, MLDM.

[6]  Robert B. Fisher,et al.  Hierarchical classification with reject option for live fish recognition , 2014, Machine Vision and Applications.

[7]  Aaron Kershenbaum,et al.  Category Levels in Hierarchical Text Categorization , 1998, EMNLP.

[8]  Rada Mihalcea,et al.  Graph-based Ranking Algorithms for Sentence Extraction, Applied to Text Summarization , 2004, ACL.

[9]  Graeme Hirst,et al.  Lexical Cohesion Computed by Thesaural relations as an indicator of the structure of text , 1991, CL.

[10]  Stephen Soderland,et al.  Learning to Extract Text-Based Information from the World Wide Web , 1997, KDD.

[11]  Y Yang.  An evaluation of statistical approaches to MEDLINE indexing. , 1996, Proceedings : a conference of the American Medical Informatics Association. AMIA Fall Symposium.

[12]  G. Marshall,et al.  The purpose, design and administration of a questionnaire for data collection , 2005 .

[13]  Yen-Liang Chen,et al.  Mining fuzzy association rules from questionnaire data , 2009, Knowl. Based Syst..

[14]  Karen Sparck Jones.  A statistical interpretation of term specificity and its application in retrieval , 1972 .

[15]  Ayako Hiramatsu,et al.  Support system for analyzing open-ended questionnaires data by culling typical opinions , 2004, 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583).

[16]  J. Platt.  Sequential Minimal Optimization : A Fast Algorithm for Training Support Vector Machines , 1998 .

[17]  J. Ross Quinlan,et al.  Induction of Decision Trees , 1986, Machine Learning.

[18]  Alex Alves Freitas,et al.  Comparing Several Approaches for Hierarchical Classification of Proteins with Decision Trees , 2007, BSB.

[19]  Yiming Yang,et al.  A Comparative Study on Feature Selection in Text Categorization , 1997, ICML.

[20]  Maria Fuentes,et al.  Using cohesive properties of text for automatic summarization , 2002 .

[21]  Chris Buckley,et al.  OHSUMED: an interactive retrieval evaluation and new large test collection for research , 1994, SIGIR '94.

[22]  David J. Hand,et al.  A Simple Generalisation of the Area Under the ROC Curve for Multiple Class Classification Problems , 2001, Machine Learning.

[23]  Tomohiro Yoshikawa,et al.  Extraction of important keywords in free text of questionnaire data and visualization of relationship among sentences , 2009, 2009 IEEE International Conference on Fuzzy Systems.

[24]  Kathleen F. McCoy,et al.  Efficient text summarization using lexical chains , 2000, IUI '00.

[25]  Panagiotis Stamatopoulos,et al.  Summarization from Medical Documents: A Survey , 2005, Artif. Intell. Medicine.

[26]  Masaki Murata,et al.  Classification of Open-Ended Questionnaires based on Surface Information in Sentence Structure , 2001, NLPRS.

[27]  Andreas Hotho,et al.  A Brief Survey of Text Mining , 2005, LDV Forum.

[28]  Alex A. Freitas,et al.  A survey of hierarchical classification across different application domains , 2010, Data Mining and Knowledge Discovery.

[29]  Chih-Jen Lin,et al.  LIBSVM: A library for support vector machines , 2011, TIST.

[30]  Anne Morris,et al.  The problem of information overload in business organisations: a review of the literature , 2000, Int. J. Inf. Manag..

[31]  Thomas Hofmann,et al.  Text classification in a hierarchical mixture model for small training sets , 2001, CIKM '01.

[32]  Hang Li,et al.  Mining Open Answers in Questionnaire Data , 2001, IEEE Intell. Syst..

[33]  Claude E. Shannon,et al.  The mathematical theory of communication , 1950 .

[34]  Ee-Peng Lim,et al.  Hierarchical text classification and evaluation , 2001, Proceedings 2001 IEEE International Conference on Data Mining.

[35]  Richard J. Roiger,et al.  Data Mining: A Tutorial Based Primer , 2002 .

[36]  Mitsuo Nagamachi,et al.  Kansei Engineering: A new ergonomic consumer-oriented technology for product development , 1995 .

[37]  Ian H. Witten,et al.  Data mining: practical machine learning tools and techniques, 3rd Edition , 1999 .

[38]  Fabrizio Sebastiani,et al.  Machine learning in automated text categorization , 2001, CSUR.

[39]  Yiming Yang,et al.  RCV1: A New Benchmark Collection for Text Categorization Research , 2004, J. Mach. Learn. Res..

[40]  A. Joshi.  Natural Language Processing , 1991, Science.

[41]  Peter Willett,et al.  The Porter stemming algorithm: then and now , 2006, Program.

[42]  Ian H. Witten,et al.  The WEKA data mining software: an update , 2009, SKDD.

[43]  B. Gillham.  Developing a Questionnaire , 2000 .

[44]  Ilyas Cicekli,et al.  Using lexical chains for keyword extraction , 2007, Inf. Process. Manag..

[45]  Ramakrishnan Srikant,et al.  Fast algorithms for mining association rules , 1998, VLDB 1998.

[46]  Regina Barzilay,et al.  Using Lexical Chains for Text Summarization , 1997 .

[47]  James P. Callan,et al.  Training algorithms for linear text classifiers , 1996, SIGIR '96.

[48]  Ivan Bratko,et al.  Microarray data mining with visual programming , 2005, Bioinform..

[49]  Xin Liu,et al.  Generic text summarization using relevance measure and latent semantic analysis , 2001, SIGIR '01.

[50]  M. Saravanan,et al.  Summarization and categorization of text data in high-level data cleaning for information retrieval , 2003, Appl. Artif. Intell..

[51]  Daniel Marcu,et al.  Summarization beyond sentence extraction: A probabilistic approach to sentence compression , 2002, Artif. Intell..

[52]  Spiridon D. Likothanassis,et al.  Best terms: an efficient feature-selection algorithm for text categorization , 2005, Knowledge and Information Systems.

[53]  Tom Mitchell,et al.  Towards robust computerised marking of free-text responses , 2002 .

[54]  Hao Chen,et al.  Evaluation of decision forests on text categorization , 1999, Electronic Imaging.

[55]  Thorsten Joachims,et al.  Learning to classify text using support vector machines - methods, theory and algorithms , 2002, The Kluwer international series in engineering and computer science.

[56]  Hans Peter Luhn,et al.  The Automatic Creation of Literature Abstracts , 1958, IBM J. Res. Dev..

[57]  Nitesh V. Chawla,et al.  Data Mining for Imbalanced Datasets: An Overview , 2005, The Data Mining and Knowledge Discovery Handbook.

[58]  Dipanjan Das Andr,et al.  A Survey on Automatic Text Summarization , 2007 .

[59]  Max Bramer,et al.  Principles of Data Mining , 2013, Undergraduate Topics in Computer Science.

[60]  I. Buchan,et al.  Developing a network for small animal disease surveillance , 2010, Veterinary Record.

[61]  Hongyan Jing,et al.  Sentence Reduction for Automatic Text Summarization , 2000, ANLP.

[62]  Horacio Rodríguez,et al.  Approaches to Text Summarization: Questions and Answers , 2004, Inteligencia Artif..

[63]  Wesley W. Chu,et al.  Knowledge acquisition from documents with both fixed and free formats , 2003, SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483).

[64]  Jiawei Han,et al.  Data Mining: Concepts and Techniques , 2000 .

[65]  Robert J. Gaizauskas,et al.  Using Coreference Chains for Text Summarization , 1999, COREF@ACL.

[66]  Inderjeet Mani.  Recent developments in text summarization , 2001, CIKM '01.

[67]  Hitoshi Isahara,et al.  Criterion for Judging Request Intention in Response Texts of Open-Ended Questionnaires , 2003, IWP@ACL.

[68]  Jihoon Yang,et al.  Extracting sentence segments for text summarization: a machine learning approach , 2000, SIGIR '00.

[69]  Sang M. Lee,et al.  Text classification: neural networks vs support vector machines , 2009, Ind. Manag. Data Syst..

[70]  Karel Jezek,et al.  Evaluation Measures for Text Summarization , 2012, Comput. Informatics.

[71]  Sumithra Velupillai,et al.  Revealing Relations between Open and Closed Answers in Questionnaires through Text Clustering Evaluation , 2008, LREC.

[72]  Karel Jezek,et al.  Text Summarization and Singular Value Decomposition , 2004, ADVIS.

[73]  Padhraic Smyth,et al.  Knowledge Discovery and Data Mining: Towards a Unifying Framework , 1996, KDD.

[74]  Michael Granitzer,et al.  Hierarchical Text Classication using Methods from Machine Learning , 2003 .

[75]  Rohini K. Srihari,et al.  Feature selection for text categorization on imbalanced data , 2004, SKDD.

[76]  Kathleen McKeown,et al.  Cut and Paste Based Text Summarization , 2000, ANLP.

[77]  Abraham Silberschatz,et al.  On Subjective Measures of Interestingness in Knowledge Discovery , 1995, KDD.