On July 31st, FiveThirtyEight shared 3 million Russian troll tweets to the public. With data so large and relevant to understanding Russian interference in American democracy, crowdsourcing this kind of research could unearth breakthrough insights. As concerned citizens and patriots, Luminoso wanted to help analyze this data We saw the tweets were collectively all over the … Read more
In the world of retail, the customer is indeed king. Retailers strive to minimize returns by selecting the right (quality) products for each and every aisle, all while managing social media fury and customer preferences across every channel imaginable. So, how are the best of the best keeping up with the onslaught of feedback coming … Read more
Where did we come from? Where do we go? (And will we ever reveal the identity of Cotton-Eyed Joe?) Answering these questions starts with the word ontology, which describes a branch of metaphysics focused on the nature and grouping of entities that exist (or are said to exist) according to their similarities and differences. Origins … Read more
Whether you’re abbreviating a common phrase or excluding outsiders with your own lingo, slang is a constantly changing linguistic phenomenon seen in every subculture across the globe. As a previous Luminoso blog pointed out, words like “wicked” can go from meaning evil or morally wrong, to really, very, or great depending on the population or locale using it. Suddenly, the … Read more
You may remember your first wide-eyed year at a new school, surrounded by senior students who dismissed you as “clueless” or “naive”. And like all of us, you simply lacked enough experience with the world. The joys and perils of being naive Many authors and celebrities have romanticized the virtues of naivete and the fresh, … Read more
When they first started appearing, you probably thought they were 💩. Or perhaps you were reluctant to stop turning your head sideways ;-). But as they continued to supplant emoticons, emojis are here to stay. And they have an impact on how Artificial Intelligence, Machine Learning, and Natural Language technologies understand the world. Where did … Read more
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