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Text Mining with R { Twitter Data Analysis1

Text Mining with R Twitter data Analysis1 . Yanchang Zhao R and data Mining Workshop for the Master of Business Analytics course, Deakin University, Melbourne 28 May 2015. 1. Presented at AusDM 2014 (QUT, Brisbane) in Nov 2014 and at UJAT (Mexico) in Sept 2014. 1 / 34. Outline Introduction Extracting Tweets Text Cleaning Frequent Words and Associations Word Cloud Clustering Topic Modelling Online Resources 2 / 34. Text Mining I unstructured text data I text categorization I text clustering I entity extraction I sentiment analysis I document summarization I .. 3 / 34. 2. Text Mining of Twitter data with R. 1. extract data from Twitter 2. clean extracted data and build a document-term matrix 3. find frequent words and associations 4. create a word cloud to visualize important words 5. text clustering 6. topic modelling 2. Chapter 10: Text Mining , R and data Mining : Examples and Case Studies.

Text mining of Twitter data with R 2 1.extract data from Twitter 2.clean extracted data and build a document-term matrix 3. nd frequent words and associations 4.create a word cloud to visualize important words 5.text clustering 6.topic modelling 2Chapter 10: Text Mining, R and Data Mining…

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