Extraction of entitiesīy mining the unstructured text of reviews and posts and news article and Lot of this thinking for you, and your analytics engine. Mentioned above “official” and popular product names and the need to reconcile Will give a lot, but making the connections may not be that simple. Enhanced virtual records from a wide spectrum of sources All these can come from a good analysis engine – if it has the It involves demographics and sentiment, and timelinessĪnd location. A properly configured and authenticated FS system willĪnalysis these days is more than just a list of what And even if you gatherĪll this, the list of drugs will not include their interactions, so there couldīe more digging to do. No operation reports, no list of past and current drugs. This will have administrative details, but noįinancial data, no medical history notes, not results of blood tests, no scans,
It allows the system toīuild completely virtual records from the content of others. Fortunately the better FS systems have a feature calledĮnhancement which allows for just this possibility. The tweet has the link,īut not the content of the post. As a simpleĮxample think of a tweet which references a blog post. And now another wrinkle: some of the data needed for theĪnalysis is not contained in the records you retrieve, and the only way toĭetermine this is to examine those records and then go and get it.
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