jgs Definition § Supervised learning is the machine learning task of learning a function that maps an input to an output based on example input-output pairs.
jgs Text Mining Extracting information from text documents (natural language). § generate a search index; § text categorization into domains; § text clustering to organize a set of documents; § sentiment analysis to identify subjective information; § concept or entity extraction (people, places, organizations); § document summarization (identify important points); and § learning relations between named entities. § Spam detection in email messages,
jgs Previously … § Text Mining as unsupervised technique that looks for patterns in a corpus of text – identify words (topics) that appear un a statistically meaningful way § analyze a large archive of text documents (blog post, an email, a tweet, a book chapter, etc.) and understand what the archive contains § The most well-known algorithm is Latent Dirichlet Allocation (LDA) 2003, Blei, Ng, & Jordan (available on Canvas)
jgs Library § Mallet (MAchine Learning for Language Toolkit), a Java-based package for statistical natural-language processing, document classification, clustering, topic modeling, information extraction, and other machine-learning applications to text. § Andrew McCallum, University of Massachusetts Amherst, 2002)
jgs Data | Email Spam Dataset § 2000, Androutsopoulos et al. (reorganized - 2010, Ng) § Pre-processed emails § Consists of 350 spam and 350 non-spam (for training) § Consists of 130 spam and 130 non-spam (for testing) § http://openclassroom.stanford.edu/ MainFolder/DocumentPage.php? course=MachineLearning&doc=exercises/ex6/ex6.html § Download ex6DataEmails.zip (the version that in NOT preproseced)
jgs Import Data for Training File iterator cc.mallet.pipe.iterator.FileIterator FileIterator iterator = new FileIterator( § A list of File[] directories with text files § A file filter that specifies which files to select within a directory § A pattern that is applied to a filename to produce a class label )
Ph.D. [email protected] Spring 2022 Copyright. These slides can only be used as study material for the class CSE205 at Arizona State University. They cannot be distributed or used for another purpose.
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