Wright, A. (2009). “Mining the Web for Feelings, Not Facts.” The New York Times. Retrieved on 30 June, 2010. http://www.nytimes.com/2009/08/24/technology/internet/24emotion.html Online presence is a valuable commodity in today’s digital market. As companies seek to track exactly how their brand is discussed via the web and where these discussions appear, it becomes apparent that even a team of employees devoted to such research cannot tackle the shear size of the medium. Thus, algorithms are being employed by marketing research firms as well as companies themselves to handle not only the amount of information present on the Internet, but also in what context it amasses. These algorithmic tools are applied all over the web, but are concentrated on social networking sites like Facebook and Twitter, as well as sites that allow large amounts of user-generated content. Theoretically, in this way a computer can track not only when a company is mentioned but also in what connotative context it appears. Differing from previous brand tracking, these new programs seek to determine subjective opinion as well as objective knowledge. By programming computers to scan the Internet for words that hold certain connotative meanings, marketers and brands can preemptively address user satisfaction issues as well as…
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