J.J. Davis's scientific contributions
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It was automatically created by ResearchGate to create a record of this author's body of work. We create such pages to advance our goal of creating and maintaining the most comprehensive scientific repository possible. In doing so, we process publicly available (personal) data relating to the author as a member of the scientific community.
If you're a ResearchGate member, you can follow this page to keep up with this author's work.
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Publication (1)
Social media have provided consumers with numerous outlets for disseminating their brand-related comments. Given the impact of these comments on brand image and brand success, marketers have begun to rely on third-party companies to automatically track, collect and analyze these comments with regard to their content and sentiment. There is, however...
Citations
... Although many researchers point out that the properties of short and noisy present new challenges to the sentiment analysis for microblog message, Bermingham and Smeaton [11] find classifying sentiment in microblogs easier than in blogs. Davis and O'Flaherty [12] evaluate the automated sentiment coding accuracy and misclassification errors of six leading third-party companies for a broad range of comment types and forms. ...
