ABSTRACT
It is estimated by some experts in the field that around 80 percent of the data in computer systems is unstructured, that is, not saved or accessible in spreadsheets or databases that are required by most statistical software for analysis and computation. Attempts have been made over the years to monitor what was happening on social media sites. With the addition of text data from social media, consumer comments, industry websites and third-party surveys or transcripts, the algorithms and interpretive tools of the natural language processing software may uncover potential issues, points of emphasis for future campaigns or valuable product innovations that customers will value. It can be particularly valuable for monitoring social media, permitting companies to find specific terms used for their products or company actions and in particular to know if there are legal issues being mentioned.
