Using machine learning to identify jihadist messages on Twitter
暂无分享,去创建一个
[1] Alok N. Choudhary,et al. Twitter Trending Topic Classification , 2011, 2011 IEEE 11th International Conference on Data Mining Workshops.
[2] Aba-Sah Dadzie,et al. Nerding out on twitter: fun, patriotism and #curiosity , 2013, WWW.
[3] Hakan Ferhatosmanoglu,et al. Short text classification in twitter to improve information filtering , 2010, SIGIR.
[4] Aba-Sah Dadzie,et al. Ageing factor:a potential altmetric for observing events and attention spans in microblogs , 2012 .
[5] Thorsten Joachims,et al. Text Categorization with Support Vector Machines: Learning with Many Relevant Features , 1998, ECML.
[6] J. Kent. Information gain and a general measure of correlation , 1983 .
[7] Stephen V. Stehman,et al. Selecting and interpreting measures of thematic classification accuracy , 1997 .
[8] Timothy W. Finin,et al. Why we twitter: understanding microblogging usage and communities , 2007, WebKDD/SNA-KDD '07.
[9] Ethem Alpaydin,et al. Introduction to machine learning , 2004, Adaptive computation and machine learning.
[10] Yoram Singer,et al. Logistic Regression, AdaBoost and Bregman Distances , 2000, Machine Learning.
[11] Xiaojin Zhu,et al. Introduction to Semi-Supervised Learning , 2009, Synthesis Lectures on Artificial Intelligence and Machine Learning.
[12] Mihai Surdeanu,et al. The Stanford CoreNLP Natural Language Processing Toolkit , 2014, ACL.
[13] Walid Magdy,et al. #FailedRevolutions: Using Twitter to study the antecedents of ISIS support , 2015, First Monday.
[14] Christopher S. G. Khoo,et al. Aspect-based sentiment analysis of movie reviews on discussion boards , 2010, J. Inf. Sci..
[15] Dan Zarrella,et al. The Social Media Marketing Book , 2009 .
[16] James L. Regens,et al. Islamic Radicalism and Global Jihad , 2009 .
[17] Dorian Pyle,et al. Data Preparation for Data Mining , 1999 .
[18] อนิรุธ สืบสิงห์,et al. Data Mining Practical Machine Learning Tools and Techniques , 2014 .
[19] Karin M. Verspoor,et al. BioLemmatizer: a lemmatization tool for morphological processing of biomedical text , 2012, J. Biomed. Semant..
[20] Nello Cristianini,et al. An Introduction to Support Vector Machines and Other Kernel-based Learning Methods , 2000 .
[21] David D. Lewis,et al. Naive (Bayes) at Forty: The Independence Assumption in Information Retrieval , 1998, ECML.
[22] Biju Issac,et al. Case Studies in Secure Computing: Achievements and Trends , 2014 .
[23] Peter Jackson,et al. Natural language processing for online applications : text retrieval, extraction and categorization , 2002 .