Sounds interesting. An NLP analysis of best-selling action-thriller
novelist Matthew Reilly (Ice Station
, etc) shows that he
(very deliberately)uses loads of really `exciting' words...
And, other studies have shown the heart-rate (and, adrenalin) goes
up, when we read words like: "murder", "kill" "stab" "strangle"
Also other studies show: emails that contain 12 certain `positive'
words are more likely to succeed.
(Can't recall them all - but 3 of the 12 are "safe", "discover" and
"love" etc )
ie - those words are (apparently) more likely to make the reader
agree with the email, or even - be convinced by it, say, if it is an
So - NLP certainly reveals a lot...
Which - in film - ties into the famous `Kuleshhov Effect'
experiments... (1920s) http://www.youtube.com/watch?v=_gGl3LJ7vHc
ie Whenever we (viewers) are presented with any concept/meme/idea
(ie - visual image) in a film, we have an emotional reaction, even
if, we're not fully aware of it...
In fact - this is why Christian Metz' project, of using (after
Saussure) language structure - as an analogy for `structure and
meaning' in film - was misguided...
A shot is not a word (it contains, about a thousand words, if
translated as a description), a Scene is not a sentence (it is at
least, a short story) and a Sequence (of scenes) is not a paragraph
(it is an even longer short story)... Which, also explains why: Metz
later (rightly) abandoned the entire project of using semiotics to
ie - A film contains vastly more information (as: a memeplex
holarchy) than, most novels...
(and in film - you also have: lighting - and, shot-composition -
and, actors' inflections... and colour-theory, which: also all
(Let alone - what sound & music in film can do, with emotion...)
Anyway, all very interesting/intriguing...
PS - Bill, I notice you mention in a few posts, that Literary
Darwinism says things that were said, 50 years ago... - You may well
be right, but can you give some specific examples?
On 28/09/2013 11:22 PM, Bill Benzon
This is a guest post I've
just published at Language Log. The two disciplines are
literary studies and computational linguistics. Here's an
linguistics (CL) dates back to the first efforts in
machine translation in the mid 1950s, it is only in the
last decade or so that it has had a substantial impact on
literary studies through the statistical techniques of
corpus linguistics and data mining (know as natural
language processing, NLP). In this essay I briefly review
the history of computational linguistics, from its early
days involving symbolic computing to current developments
in NLP, and set that in relationship to academic literary
study. In particular, I discuss the deeply problematic
struggle that literary study has had with the question of
evaluation: What makes good literature? I argue that
literary studies should own up to this tension and
recognize a distinction between ethical criticism, which
is explicitly concerned with values, and naturalist
criticism, which sidesteps questions of value in favor of
understanding how literature works in the mind and in
culture. I then argue that the primary relationship
between CL and NLP and literary studies should be through
naturalist criticism. I conclude by discussing the
relative roles of CL and NLP in a large-scale and
long-term investigation of romantic love.
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