Biljana is a Senior Program Manager in the Text Analytics group at SAS. She holds two Master’s degrees, in English as a Second Language and Slavic Linguistics, as well as a Ph.D. in Instructional Technology. She enjoys research and writing and has had several articles published in peer-reviewed journals in the fields of computer-assisted language learning, linguistics, and higher education. Biljana considers herself a life-long learner, likes to challenge herself, and finds new experiences exciting. Outside of SAS, she enjoys traveling, playing music, teaching/learning languages, and spending time with family and friends.
With the first debate between the two candidates behind us and the culmination of the US presidential election drawing near, who wouldn’t love to predict the winner? I don't have a crystal ball, but I do have the power of unstructured text analytics at my fingertips. With the help of
April 1st is known as April Fools’ Day. We could have chosen to celebrate a number of events that happened on this date. In the U.S. alone, it could have been the creation of the “$” symbol (1778), the marketing of the first dishwashing machine (1889), the first U.S. national
Did you know that Tuesday, Nov. 24, was #ThankfulTuesday? This themed day was just two days before Thanksgiving and joined the ranks of newly invented opportunities such as #WorldPastaDay and #NationalMotherInLawDay to collectively post on social media about a single topic. Appropriate to the season of giving thanks, many people
As a linguist, I am fascinated with words, their meanings and use. So when I recently saw the words “learning analytics” in a conference paper title, I started thinking about the prevalence of the word “analytics” itself. In the last decade, we have preceded “analytics” with many modifiers referring to
~ This article is co-authored by Biljana Belamaric Wilsey and Teresa Jade, both of whom are linguists in SAS' Text Analytics R&D. When I learned to program in Python, I was reminded that you have to tell the computer everything explicitly; it does not understand the human world of nuance
