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Text AnalyticsLecture 1
AgendaCourse schedule and syllabusText Analytics Overview
Something about JIA LIPreviouslyReceived PhD in MIS from Shanghai Jiaotong UniversityVisiting scholar at Information Sciences Institute, University of Southern California (2008-2009)Doing research in Business Intelligence, Web/Text/Data mining, Artificial Intelligence, E-Health, and E-Business“technical” backgroundQuestions?3
syllabusIntroductionText RepresentationText ClassificationText Similarity and ClusteringSentiment AnalysisSocial Media MiningExam
Reference Books1. Natural Language Processing with Python by Steven Bird, Ewan Klein and Edward LoperISBN-13: 978-0596516499 ISBN-10: 0596516495/book/ 2. Mining Text Data by Charu C. Aggarwal and Chengxiang ZhaiISBN-13: 978-1489989208 ISBN-10: 148998920X
TEXT Analytics Overview
What Is Text Analytics?“The objective of Text Mining is to exploit information contained in textual documents in various ways, including …discovery of patterns and trends in data, associations among entities, predictive rules, etc.” (Grobelnik et al., 2001)“Another way to view text data mining is as a process of exploratory data analysis that leads to heretofore unknown information, or to answers for questions for which the answer is not currently known.” (Hearst, 1999)
What Is Text Analytics?What does previously unknown mean?Implies discovering genuinely new information.Hearst’s analogy: Discovering new knowledge vs. merely finding patterns is like the difference between a detective following clues to find the criminal vs. analysts looking at crime statistics to assess overall trends in car theft.
Question Answering: IBM’s WATSONWon Jeopardy on Feb 16, 2011!
university entrance examA robot, AI-MATHS, sits for the math test of Chinas national college entrance exam in Chengdu, capital of southwest Chinas Sichuan Province, June 7, 2017. The robot finished the Beijing test in 22 minutes, scoring 105 points out of 150 points, without Internet support. It scored 100
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