Bookworm on vector space models

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A couple of great posts by Ben Schmidt at Bookworm: "Vector space models for the digital humanities", 10/25/2015; and "Rejecting the gender binary: a vector-space operation", 10/30/2015.

Update — A quick experiment by a Penn grad student, which confirms that somewhat plausible things emerge from fairly small and fairly noisy datasets…




  1. Jerry Friedman said,

    November 1, 2015 @ 5:27 pm

    Very interesting!

    It looks like the kind of thing that could be overstated by journalists in the way that you often criticize. We'll see.

    [(myl) The basic results (word2vec, GlovE, Eigenwords) have been around for a couple of years. And Schmidt's description seems to me to strike the right balance between enthusiasm and skepticism.]

  2. Rubrick said,

    November 2, 2015 @ 4:32 am

    Very interesting indeed, and quite accessible to this non-linguist, non-R-programmer.

  3. Daniel Barkalow said,

    November 2, 2015 @ 7:41 pm

    I laughed at #25 on the list of gendered synonyms in "Rejecting the gender binary".

  4. MikeA said,

    November 2, 2015 @ 7:44 pm

    Did I miss a calendar reform? That second post was apparently made
    on Octodecember 30th, 2015.

    [(myl) You mean "F4ember", right? Anyhow, it's fixed now.]

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