With an increased usage of online survey methods and social media, there is now an influx of user generated content that is readily available to businesses. Surveys given to customers, comments on a company’s Facebook page, and tweets mentioning brands all have the potential to help businesses narrow in on relevant topics. Businesses now have the opportunity to effectively extract insights from this type of data to better understand consumer needs. However, user generated content poses many challenges given that it is unstructured and extremely time consuming to work with.
Carmichael Lynch’s analytics manager Mia Wang lead this insightful session, exploring how to implement text mining techniques to derive insights from unstructured data and drive critical business decisions.
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