AI Feeling a Little Sentimental
July 24, 2017
Big data was one of the popular buzzwords a couple years ago, but one conundrum was how organizations were going to use all that mined data? One answer has presented itself: sentiment analysis. Science shares the article, “AI In Action: How Algorithms Can Analyze The Mood Of The Masses” about how artificial intelligence is being used to gauge people’s emotions.
Social media presents a constant stream of emotional information about products, services, and places that could be useful to organizations. The problem in the past is that no one knew how to fish all of that useful information out of the social media Web sites and make it a usable. By using artificial intelligence algorithms and natural language processing, data scientists are finding associations between words, the language used, posting frequency, and more to determine everything from a person’s mood to their personality, income level, and political associations.
‘There’s a revolution going on in the analysis of language and its links to psychology,’ says James Pennebaker, a social psychologist at the University of Texas in Austin. He focuses not on content but style, and has found, for example, that the use of function words in a college admissions essay can predict grades. Articles and prepositions indicate analytical thinking and predict higher grades; pronouns and adverbs indicate narrative thinking and predict lower grades…’Now, we can analyze everything that you’ve ever posted, ever written, and increasingly how you and Alexa talk,’ Pennebaker says. The result: ‘richer and richer pictures of who people are.’
AI algorithms are able to turn a person’s online social media accounts and construct more than a digital fingerprint of a person. The algorithms act like digital mind readers and recreate a person based on the data they publish.
Whitney Grace, July 24, 2017
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