After a brief incursion into LDA, it appeared to me that visualization of topics and of its components played a major role in interpreting the model. In this blog post I will write about my experience with PyLDAvis, a python package (ported from R) that allows an interactive visualization of a topic model.
Continue reading “Experiments on Topic Modeling – PyLDAvis”
Unless you’ve been living under a rock for these past few months (and honestly, if you have, I am not judging), you’ll have heard of Cambridge Analytica . These revelations struck a chord with the research we have been conducting over the past few months here at Object-Oriented Subject. Continue reading “Reflections on Cambridge Analytica, #DeleteFacebook et al”
Last November I attended one event connecting to crucial aspects of Object-Oriented Subject’s research, namely the exploration of the relationships of power and control embedded in algorithms. This event was a lecture by Cathy O’Neil in Utrecht, given on the 21st of November. As some interesting insights were gathered during this occasion, especially concerning a data scientist’s perspective on algorithm design and application, I would like to write a synopsis of the most relevant points raised by Cathy O’Neil. Continue reading “Weapons of Math Destruction – Lecture Synopsis”
Topic modeling is an approach or a method through which a collection is organized/structured/labeled according to themes found in its contents. Continue reading “Experiments on Topic Modeling – LDA”
After going through the process of mining and selecting relevant patents (you can read all about it here), and ending up with 530 “Must Read” patents and 254 “Maybe” patents, I started the process of reading and summarizing them. Continue reading “Schematic Patents”