Archive for text mining

Nature tidbits

Posted in Books, University life with tags , , , , , , , , , , , on September 7, 2019 by xi'an

Before returning a few older issues of Nature to the coffee room of the maths department, a quick look brought out the few following items of interests, besides the great cover above:

  • France showing the biggest decline in overal output among the top 10 countries in the Nature Index Annual Tables.
  • A tribune again the EU’s Plan S, towards funding (private) publishers directly from public (research) money. Why continuing to support commercial journals one way or another?!
  • A short debate on geo-engineering towards climate control, with the dire warning that “little is known about the consequences” [which could be further damaging the chances of human survival on this planet].
  • Another call for the accountability of companies designing AI towards fairness and unbiasedness [provided all agree on the meaning of these terms]
  • A study that argues that the obesity epidemics is more prevalent in rural than urban areas due to a higher recourse to junk food in the former.
  • A data mining venture in India to mine [not read] 73 million computerised journal articles, which is not yet clearly legal as the publishers object to it. Although the EU (and the UK) have laws authorising mining for non-commercial goals. (And India has looser regulations wrt copyright.)

[down]value my CV?!

Posted in Uncategorized with tags , , , , , on February 21, 2016 by xi'an

skillsI came by chance to this web service Adzune, which takes CV’s through text mining and returns an estimate of which salary this experience is worth. Here is the summary produced, along with an automated word cloud (food safety?! millennium?! How comes this appears in my skills?).

Christian Robert’s experience appears to be concentrated in Information Technology / Big Data, with exposure to Business Operations and General Business / General Skills and Activities. Christian Robert has 29 years of work experience, with 22 years of management experience, including a high-level position.

The most positive thing one can state about this summary is that the algorithm does not seem very adequate for an academic. Exposure to Business Operations? Me?! Statistics does not seem to be a catchy enough skill for those analysts. Nttt….