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.
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
