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Naive Bayes classifier
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#	Item
371	Towards a General Rule for Identifying Deceptive Opinion Spam Jiwei Li1 , Myle Ott2 , Claire Cardie2 , Eduard Hovy3 1 Computer Science Department, Stanford University, Stanford, CA 94305, USA of Computer Science, Cornell Add to Reading List Source URL: web.stanford.edu Language: English - Date: 2014-08-15 09:53:53 Spamming Communication theory Cybercrime Electronic commerce Marketing Spam Email spam Interpersonal deception theory Naive Bayes classifier Internet Computing Behavior
372	Extracting Protein-Protein interactions using simple contextual features Leif Arda Nielsen School of Informatics University of Edinburgh [removed] Add to Reading List Source URL: www.ltg.ed.ac.uk Language: English - Date: 2007-05-10 14:22:15 Systems biology Biotechnology Signal transduction Protein–protein interaction Information extraction Naive Bayes classifier Protein domain Phosphorylation Biology Bioinformatics Proteomics
373	Sentence Extraction for Legal Text Summarisation Ben Hachey and Claire Grover University of Edinburgh School of Informatics 2 Buccleuch Place Edinburgh EH8 9LW, UK Add to Reading List Source URL: www.ltg.ed.ac.uk Language: English - Date: 2007-05-10 14:22:15 Natural language processing Computational linguistics Automatic summarization Data mining Bayesian statistics Statistical classification Naive Bayes classifier Sentence Rhetoric Linguistics Statistics Science
374	Standardbrief_Logo_farbig_Seite_1 Add to Reading List Source URL: dws.informatik.uni-mannheim.de Language: English - Date: 2014-10-14 10:10:17 Statistical classification Decision trees Naive Bayes classifier Pruning RapidMiner Statistics Neuroscience Machine learning
375	Schulz et al. Detecting Crisis Related Microposts using Sentiment Analysis. A Fine-Grained Sentiment Analysis Approach for Detecting Crisis Related Microposts Add to Reading List Source URL: www.iscramlive.org Language: English - Date: 2013-08-02 08:20:36 Real-time web Social media Text messaging Twitter Sentiment analysis Machine learning Naive Bayes classifier Support vector machine Statistics Statistical classification Websites
376	Machine Learning and Feature Based Approaches to Gender Classification of Facebook Statuses Jeremy Keeshin, [removed] Zach Galant Add to Reading List Source URL: thekeesh.com Language: English - Date: 2011-09-19 20:18:15 Gender studies Social psychology Linguistic morphology Linear classifier Naive Bayes classifier Perceptron Gender Binary classification Grammatical gender Statistics Statistical classification Machine learning
377	Journal of Machine Learning Research[removed]2067 Submitted 8/11; Revised 3/12; Published 6/12 Pattern for Python Tom De Smedt Add to Reading List Source URL: jmlr.csail.mit.edu Language: English - Date: 2012-06-21 23:23:09 Linguistics Part-of-speech tagging Natural language processing WordNet Parsing NetworkX Machine learning K-nearest neighbor algorithm Naive Bayes classifier Artificial intelligence Science Computational linguistics
378	Integrated Instance- and Class-based Generative Modeling for Text Classification Antti Puurula Sung-Hyon Myaeng Add to Reading List Source URL: www.cms.waikato.ac.nz Language: English - Date: 2013-11-30 23:44:11 Probability and statistics Multiclass classification Pattern recognition Linear classifier Naive Bayes classifier Support vector machine Generative model Multi-label classification N-gram Statistics Machine learning Statistical classification
379	Efficient Learning on Point Sets Liang Xiong, Barnab´as P´oczos, and Jeff Schneider School of Computer Science Carnegie Mellon University Email: {lxiong,bapoczos,jeff.schneider}@cs.cmu.edu Abstract—Recently several m Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2014-09-10 18:52:46 K-means clustering Support vector machine K-nearest neighbor algorithm Linear classifier Random forest Naive Bayes classifier Pattern recognition Cross-validation Classification rule Statistics Machine learning Statistical classification

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