Featured Linguist!

Jost Gippert: Our Featured Linguist!

"Buenos dias", "buenas noches" -- this was the first words in a foreign language I heard in my life, as a three-year old boy growing up in developing post-war Western Germany, where the first gastarbeiters had arrived from Spain. Fascinated by the strange sounds, I tried to get to know some more languages, the only opportunity being TV courses of English and French -- there was no foreign language education for pre-teen school children in Germany yet in those days. Read more

Donate Now | Visit the Fund Drive Homepage

Amount Raised:


Still Needed:


Can anyone overtake Syntax in the Subfield Challenge ?

Grad School Challenge Leader: University of Washington

Publishing Partner: Cambridge University Press CUP Extra Publisher Login
amazon logo
More Info

Ask-A-Linguist Message Details

Subject: Question about 'Buzz' in Language
Question: Hi,

My name is Javier Mijares and I am a MBA student at MIT Sloan. I am currently
working on a project for my class of Seminar on Portfolio Management. We are
trying to track either the ''buzz'' or uncertainty in the media coverage of stocks, and
with that, use that information to trade the stock by anticipating the volume of
trades on the stocks. Specifically, my question is, do you know of any research that
shows whether any specific words create a ''buzz'', whether positive or negative, on
an article? Ideally, we would want to search the Wall Street Journal, for example, and
run a program to see if there is a positive or negative ''buzz'' trend on a stock and
see how that affects its performance on the stock market.

Thank you in advance.


Reply: Have you considered looking at "trending terms" on Twitter over the past 4-6 years to
see if any of them is correlated with WSJ articles about specific companies or industry
sectors and movement in the markets?

I doubt that there is much there, as many very smart people are always looking for
predictors of market movement, so if it were that simple I expect it would already be
known. (And some linguist(s) would be rich.) Perhaps no one's tried that approach.

And from the social aspects of language use, I expect that any buzz-producing terms
will rapidly be replaced by other buzz-a-licious trendy stuff within weeks or months.
Plus, this crowdsourcing approach seems too reactive, rather than predictive, which is
what you're looking for.

But please, prove me wrong.

Reply From: Nancy J. Frishberg      click here to access email
Date: 13-Nov-2012

Back to Most Recent Questions