How to Import PDF’s into WordStat for Stata

  Our distributor in Australia, SurveyDesign.com has written this quick Blog that we thought you might find instructive: How to Import PDF’s into WordStat for Stata. You can also see a video tutorial on our website on how to import PDF and other documents such as ASCII, Rich Text Format, MS Word, HTML and WordPerfect documents using the Document Conversion Wizard which is available in QDA Miner and in WordStat 8: https://bit.ly/2sOw94P If you have a PDF and you want to get it into Stata for analysis using WordStat then these are the steps to...

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Bibliometrics, Using Text Mining to Review Twitter Usage in Tourism

    Social media platforms are becoming ubiquitous in the tourism industry around the world. Travelers are using social media to write reviews, plan travel, connect with others and communicate with providers. Likewise, airlines, hotels, restaurants and tour companies, are using social media to market and promote their products, communicate with their clients and as a tactic of crisis communications. These are just a few examples. As a result of this activity academics are more and more studying the impact of social media on tourism. In their...

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PART II: AUTOMATIC MACHINE LEARNING DOCUMENT CLASSIFICATION – A PRACTICAL APPROACH USING QDA MINER/WORDSTAT

INTRODUCTION Part I of our blog series introduced Automatic Machine Learning Document Classification (AML-DC). Part II of our blog series on Automatic Machine Learning Document Classification (AML-DC) provides a practical and detailed walkthrough on the development and implementation of a supervised AML-DC model in fast, reproducible, reliable and auditable way. RESEARCH PROBLEM How does one classify a large corpora of survey results into positive and negative sentiment classes, in a fast, reproducible, reliable and auditable way? METHOD Our solution...

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How Text Analytics Adds Value to NPS

    Companies are always trying to find easy and accurate ways to measure customer satisfaction or customer sentiment.  In the last decade Net Promoter Score (NPS) has emerged as a favorite.  Many companies have adopted it as a standard. The one-question survey developed by Fred Reicheld, Bain and Company, “How likely are you to recommend this product/brand/service to your friends or colleagues,” is straightforward, as is the 0-10 scoring system that accompanies it. Companies can ask the question and over time see how their score moves up or...

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Using Text Mining of Big Data for Prediction

From time-to-time in this Blog we draw your attention to some of the applications of text analytics. In the last few years one of those areas has been predictive analysis, using text mining to explore large databases. Using text mining to learn from past behavior, discover patterns and identify trends, allows researchers are able to make predictions in different fields. This blog is based on the paper Big Data for Prediction: Patent Analysis. The analysis of patents using text mining can help investors and inventors get a better sense of where a...

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PART I: Automatic Machine Learning Document Classification – An Introduction

This blog focuses on Automatic Machine Learning Document Classification (AML-DC), which is part of the broader topic of Natural Language Processing (NLP).  NLP itself can be described as “the application of computation techniques on language used in the natural form, written text or speech, to analyse and derive certain insights from it” (Arun, 2018). AML-DC aims to automatically assign ‘a data-point to a predefined class or group according to its predictive characteristics’ (Kabir et. al., 2018). AML-DC is the essence of text mining as it transects,...

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