Automatic Humor Classification in Twitter Essay

7743 WordsJan 3, 201331 Pages
Master Thesis: Automatic Humor Classification on Twitter European Maters in Language and Communication Technologies APPROVED BY SUPERVISING COMMITTEE: Supervisors: . Prof. Dietrich Klakow, University of Saarland Prof. Fang Li, Shanghai Jiaotong University Automatic Humor Classification on Twitter by Yishay Raz, B.Sc. in Computer Science Thesis Presented to the Faculty of the Graduate School of The University of Saarland And Jiaotong University in Partial Fulfillment of the Requirements for the Degree of Master of Science in Computer Linguistics/ Master of Science in Computer Application Technology The University of Saarland at Saarbrücken/ Jiaotong University at Shanghai December, 2012 Dedication To my beloved parents, Dalia and Yossi, who stood by me, and tried their best to allow the best conditions for the months of writing this thesis. To Danor who made this two-year journey enjoyable. Acknowledgements Thanks and appreciation go to Prof. Dietrich Klakow who helped with good support both moral and professional. Thanks to the LCT admission committee that gave me this valuable opportunity and allowed me to go through this interesting international experience. iv Eidesstattliche Erklärung Hiermit erkläre ich, dass ich die vorliegende Arbeit selbstständig verfasst und keine anderen als die angegebenen Quellen und Hilfsmittel verwendet habe. Declaration I hereby confirm that the thesis presented here is my own work, with all assistance acknowledged. Israel, 25 December 2012 Signature: Yishay Raz v Abstract Automatic Humor Classification on Twitter Much has been written about humor and even sarcasm automatic recognition on Twitter. Nevertheless, the task of classifying humorous tweets according to the type of humor has not been confronted so far, as far as we know. This research is aimed at

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