Thumb Up or Down? A Text-Mining Approach of Understanding Consumers through Reviews

[1]  Hans Peter Luhn,et al.  A Statistical Approach to Mechanized Encoding and Searching of Literary Information , 1957, IBM J. Res. Dev..

[2]  Mohamed M. Mostafa,et al.  More than words: Social networks' text mining for consumer brand sentiments , 2013, Expert Syst. Appl..

[3]  D. G. Morrison.  On the Interpretation of Discriminant Analysis , 1969 .

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

[5]  S. Sénécal,et al.  The influence of online product recommendations on consumers' online choices , 2004 .

[6]  Thomas R. Ioerger,et al.  Database Approaches and Data Representation in Structural Bioinformatics , 2007, 2007 IEEE 7th International Symposium on BioInformatics and BioEngineering.

[7]  J. Hanley,et al.  The meaning and use of the area under a receiver operating characteristic (ROC) curve. , 1982, Radiology.

[8]  Bo Pang,et al.  Thumbs up? Sentiment Classification using Machine Learning Techniques , 2002, EMNLP.

[9]  F. Reichheld.  The one number you need to grow. , 2003, Harvard business review.

[10]  Karen Spärck Jones.  A statistical interpretation of term specificity and its application in retrieval , 2021, J. Documentation.

[11]  Wessel Kraaij,et al.  Viewing stemming as recall enhancement , 1996, SIGIR '96.

[12]  Eric T. Bradlow,et al.  Automated Marketing Research Using Online Customer Reviews , 2011 .

[13]  Karen Spärck Jones.  Index term weighting , 1973, Inf. Storage Retr..

[14]  Cemil Kuzey,et al.  Analyzing initial public offerings' short-term performance using decision trees and SVMs , 2015, Decis. Support Syst..

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

[16]  Jacob Goldenberg,et al.  Mine Your Own Business: Market-Structure Surveillance Through Text Mining , 2012, Mark. Sci..

[17]  Fabrizio Sebastiani,et al.  Supervised term weighting for automated text categorization , 2003, SAC '03.

[18]  Keng Siau,et al.  A review of data mining techniques , 2001, Ind. Manag. Data Syst..

[19]  Huimin Zhao,et al.  Commercial Internet filters: Perils and opportunities , 2010, Decis. Support Syst..

[20]  Z. Schwartz,et al.  What can big data and text analytics tell us about hotel guest experience and satisfaction , 2015 .

[21]  Tracy Anna Rickman,et al.  The changing digital dynamics of multichannel marketing , 2007 .

[22]  Kristof Coussement.  Employing SAS ® Text Miner Methodology to Become a Customer Genius in Customer Churn Prediction and Complaint E-mail Management. , 2008 .

[23]  William Nick Street,et al.  Generalized Inverse Classification , 2016, SDM.

[24]  Phyllis B. Baxendale,et al.  Machine-Made Index for Technical Literature - An Experiment , 1958, IBM J. Res. Dev..

[25]  David M. W. Powers,et al.  Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation , 2011, ArXiv.

[26]  Shouhong Wang,et al.  A knowledge management approach to data mining process for business intelligence , 2008, Ind. Manag. Data Syst..

[27]  Charu C. Aggarwal,et al.  The Inverse Classification Problem , 2010, Journal of Computer Science and Technology.

[28]  William Nick Street,et al.  A Budget-Constrained Inverse Classification Framework for Smooth Classifiers , 2016, 2017 IEEE International Conference on Data Mining Workshops (ICDMW).

[29]  Vincent Ng,et al.  Examining the Role of Linguistic Knowledge Sources in the Automatic Identification and Classification of Reviews , 2006, ACL.

[30]  Beibei Li,et al.  Designing Ranking Systems for Hotels on Travel Search Engines by Mining User-Generated and Crowd-Sourced Content , 2011, Mark. Sci..

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

[32]  Gerard Salton,et al.  Term-Weighting Approaches in Automatic Text Retrieval , 1988, Inf. Process. Manag..

[33]  Panagiotis G. Ipeirotis,et al.  Estimating the Helpfulness and Economic Impact of Product Reviews: Mining Text and Reviewer Characteristics , 2010, IEEE Transactions on Knowledge and Data Engineering.

[34]  Kristof Coussement,et al.  Improving Customer Complaint Management by Automatic Email Classification Using Linguistic Style Features as Predictors , 2007 .

[35]  Kristof Coussement,et al.  Integrating the voice of customers through call center emails into a decision support system for churn prediction , 2008, Inf. Manag..

[36]  C. Metz.  Basic principles of ROC analysis. , 1978, Seminars in nuclear medicine.

[37]  Kang Zhao,et al.  Early Predictions of Movie Success: The Who, What, and When of Profitability , 2015, J. Manag. Inf. Syst..

[38]  Pongsak Hoontrakul,et al.  Application of data mining techniques in the on‐line travel industry , 2008 .