Text Mining: Pythonic Heavy Metal

This blog summarized work that has been posted here, here, and here. Iain of degeneratestate.org wrote a three-piece series where he applied text mining to the lyrics of 222,623 songs from 7,364 heavy metal bands spread over 22,314 albums that he scraped from darklyrics.com. He applied a broad range of different analyses in Python, the code of which…

Analysis of Media Coverage on Refugees

Hannah Yan Han is doing #100dayprojects on data science and visual storytelling and I can only recommend that you take a look yourself. Below you find her R text analysis (#41) of UNHCR speeches and TV coverage on refugees. Unsurprisingly, nouns like asylum, repatriation, displacement, persecution, plight, and crisis appear significantly more often in UNHCR speeches on refugees than…

TACIT: An open-source Text Analysis, Crawling, and Interpretation Tool

Click here for the original PDF: TACIT 2017 The first programs for (scientific) text mining are already over 50 years old. More recent efforts, such as the Linguistic Inquiry Word Count (LIWC; Tausczik & Pennebaker, 2010), have greatly improved our text analytical capabilities. Moreover, several single-purpose programs have been developed, which also consider syntactic text structures…