TextAnalytics_TextMining_SlidesExam 2 prep.pdf

TextAnalytics_TextMining_SlidesExam 2 prep.pdf - TEXT...

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T EXT A NALYTICS & T EXT M INING Adapted from student group presentation
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O UTLINE Part One. Machine Versus Men on Jeopardy!: The Story of Watson Part Two. Text Analytics and Text Mining Concepts and Definitions Part Three. Natural Language Processing Part Four. Text Mining Process Part Five. Text Mining Tools
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Machine Versus Men on Jeopardy! : The Story of Watson Part One
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T HE S TORY OF W ATSON Developed in 2010 by an IBM Research team Jeopardy! a test of its abilities Listening Understanding Responding
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Brad Rutter & Ken Jennings Weakness- Responding in categories that had short clues with few words Not connected to the internet Information that took up four terabytes of disk storage Watson utilized a variety of QA technologies Text Mining, Natural language processing, parsing, question decomposition, etc. C OMPETING A GAINST THE B EST
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Deep QA: Text mining focused probabilistic evidence based computational architecture MASSIVE PARALLELISM PERVASIVE CONFIDENCE ESTIMATION MANY EXPERTS INTEGRATE SHALLOW & DEEP KNOWLEDGE H OW D OES W ATSON W ORK ?
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Jeopardy! Challenged IBM Address Requirements DeepQA Architecture Watson Implementation TEXT ANALYTIC TEXT MINING SUCCESS U LTIMATELY
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Medtronic SoftBank Under Armour W ATSON T ODAY
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Text Analytics and Text Mining Concepts and Definitions Part Two
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The semi-automated process of extracting patterns from large amounts of unstructured data sources. Law, Academic Research, Finance, Medicine, Biology, Technology, Marketing T EXT M INING
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Pattern Matching Named entity extraction (names, companies, places) I NFORMATION E XTRACTION
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Predicting other documents of interest based on user profile and searches T OPIC T RACKING
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S UMMARIZATION
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Identifying main themes Placing the document into categories based on themes C ATEGORIZATION
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Similar to Categorization but without predefined categories C LUSTERING
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C ONCEPT L INKING
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Q UESTION A NSWERING
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Commonly used text mining terms T EXT M INING L INGO
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Structured data has predetermined format Unstructured data has no predetermined format U NSTRUCTURED D ATA
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Large and structured set of texts prepared for the purpose of conducting knowledge discovery C ORPUS
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