There is a lot that you need to predict, and a lot that can go wrong, when working with text data you have little control over. In this post the Quid technology team explores the methodologies used when addressing these challenges. By: Vincenzo Ampolo, Ashkan Zadeh, Fabio Ciulla, Mark Longo, Ruggero Altair Tacchi This month, Quid launched Opus, a new capability in Quid that lets you visualize and analyze any text-based data. Many users have ways to analyze structured data, which is why everyone is so familiar with Excel. But things become more complicated when, in addition to categorical and numerical data, there is also text-based data in the mix. Almost every survey has fields in which people can type their comments, but those fields rarely are analyzed systematically for lack of good tools. Our goal is to make that analysis easy, fast, and insightful. To help users get insights from unstructured text data, we took a series of steps to guide them towards their goals. One simple example: the way you define the ‘type’ of some metadata (is it a list? a number? a comment?) will eventually determine how that datapoint is ultimately available in the interactive software […]Read More
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