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The topics that follow will include machine learning models used for topic modeling, clustering, classification, sentiment analysis, and word embeddings. Students will also be introduced to web scraping. Considerations to both long and short texts of various subject matter. Class examples will be demonstrated primarily in R. This course assumes a bachelors-level background in Statistics or related field and knowledge of R or Python; no prior knowledge of text analysis is assumed.\n\nRobyn Ferg is a senior statistician at Westat. Her doctoral and postdoctoral research focused on developing methods for extracting insights from social media data. She has taught graduate and short courses at the Joint Program in Survey Methodology (University of Maryland) and given talks on text analysis at the Census Bureau, University of Maryland, University of Michigan, Michigan State University, and several national and international conferences. 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Solutions include basic aids to improve memory and alternative methods: decomposition, calendars, event history calendars, internet enabled devices, wearables, apps and sensors, and additional tasks on mobile phones. Also covered are the effects of telescoping and quasi-facts. Subjective questions will be revisited to understand attitude inconsistency and to cover the popular topic of satisfaction and other customer experience metrics. Alternatives methods to attitude measurement will also be examined: factorial surveys and multi-item scales. The course concludes with multi-cultural issues raised by Rinc\u00f3n and a mini appendix on ways to translate survey questions and evaluate the translation.\n\nThe course will be interactive with the goal of making it as close to in-person training as possible. There also will be workshops throughout. Dr. Campanelli is happy to chat with participants about their own questionnaires.\n\nWhy take this course?\n\nYou will get to learn about:\n\nThe deeper issues that affect factual and subjective questions.\nA broader set of resources available to solve these issues (including alternative methods and tools).\n* Please note that AI is not included in the alternative tools that will be explored in this course's curriculum.\n\nPrerequisite: An introductory course in questionnaire design or equivalent experience.\n\nPamela Campanelli is a survey methods specialist, chartered statistician, fellow of the academy of social sciences and an international trainer, researcher and consultant who runs her own business (http:\/\/www.thesurveycoach.com\/). 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