Case Study

Tune First, Then Train

Tune First, Then Train

Pages 9 Pages

WHITE P APER micro model side effects entities precise checkup data transparent algorithm syntax tune context immediate accuracy train context Lexalytics, Inc., 48 North Pleasant St. Unit 301, Amherst MA 01002 USA | 1-800-377-8036 | www.lexalytics.com Tune First, Then TrainWHITE P APER T ABLE OF CONTENT S 2 | | Lexalytics, Inc., 48 North Pleasant St. Unit 301, Amherst MA 01002 USA | 1-800-377-8036 | www.lexalytics.com Introduction Reviews are highly context dependent. Two business owners may take the exact same sentence and ascribe a different sentiment to it. Take the review, “Food was slow to arrive.” A restaurant owner would read this very differently than the owner of a motel that doesn’t serve food. For one it’s crucial feedback. For the other, it’s something that

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