Directly Import Text from Social Media with New WordStat for Stata

    Stata users can now directly import text data from many different platforms using WordStat for Stata. The latest version of WordStat for Stata (8) can be run as a stand-alone software or integrated with STATA. This means Stata users can use WordStat to directly import text data related to their quantitative data and create projects in WordStat for analysis. Stata users can now use WordStat for Stata to import text data from social media (Twitter, Facebook, RSS Feeds, YouTube, Reddit), email platforms (Outlook, Gmail, Mbox Files), web...

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More Fun, More Features in WordStat 8 Text Mining Software

    We are always looking for ways to make your text mining experience easier, better, more precise and ….more fun. It is what drives us. We think you will find the recently released WordStat 8 checks all these boxes. Easier.  Import documents and create projects directly in WordStat. Use our new Explorer mode for those of you with limited experience with text analytics software.   More Precise. New enriched Topic Modeling moves beyond the traditional approach by providing you with suggestions, exceptions and spelling corrections.  ...

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How to Install and Run WordStat for Stata

    WordStat for Stata gives you the capability to analyze any string variables/text data contained in numerical and categorical files that you are analyzing in Stata. WordStat combines natural language processing, content analysis, and statistical techniques to quickly extract topics, patterns, and relationships in large amounts of text. It can process millions of words in seconds and compare extracted themes across any other numerical, categorical or date variables in the Stata file. WordStat for Stata is the same software, with the same...

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Twitter Analysis: Do Tweets set the Political Agenda?

Content Analysis and Topic Modeling of Trump/Clinton Tweets These days the world, or at least the media, is all a twitter over the tweets emanating from the President of the United States. It seems as if every morning we wake up to some new missive, observation or attack the President has unleashed against real or perceived foes. More rarely, he arranges 280 or fewer characters to announce or to pronounce on some aspect of government policy. Today, it seems safe to say that these tweets are a major influence on the setting of the daily media agenda....

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Blog: Text Mining Open-Ended Responses to Improve Employee Engagement Survey

  Engaged employees are better employees. Studies have shown they are more productive, take fewer sick days and have fewer work-related injury or illness.  The U.S. Merit Systems Protection Board (MPSB) has found that departments and programs with more engaged employees perform better. Measuring employee engagement is important so that management can take steps to boost overall employee engagement to prescribed levels or to take actions if it begins to slide. As jobs change, new technology and other factors are introduced into the workplace...

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Text Analytics in Practice: Identifying Dated and Redundant Government Regulations

  Ok, we acknowledge from the get-go that government regulation isn’t the sexiest topic on the planet. But what if we told you there is a tool/technique that can help us reduce or at least streamline the amount of government regulations we have on the books? Good idea? We think so.  The technique is text analytics and the tools could be software like QDA Miner and WordStat. A team of analysts and data scientists at Deloitte has written the following article “Using Advanced Analytics to Drive Regulatory Reform.” The analysis was done on The Code of...

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