Comments on: Can watching Twitter trends help predict the future?

By: Lassaad Maalej

Lassaad Maalej — Thu, 15 Dec 2011 15:03:56 +0000

Can watching Twitter trends help predict the future? http://t.co/mHNX066N

By: Reiner Steffen

Reiner Steffen — Thu, 24 Nov 2011 23:55:25 +0000

Yes. One has to know how to read. http://t.co/NENRedRj

By: Iria Puyosa

Iria Puyosa — Fri, 18 Nov 2011 20:30:03 +0000

Watching Topsy to get the trends http://t.co/IwC16VHi

By: Jay Teeke

Jay Teeke — Sun, 30 Oct 2011 08:58:35 +0000

Awesomeness. Real time twitter trending information – http:www.twndy.com

By: Michael Ross

Michael Ross — Fri, 28 Oct 2011 19:12:32 +0000

Basic searches applying keywords indicative of emerging-trends also boosts trend-spotting strategies; through a process called ‘inference scanning.’

A few (of many) examples of emerging-trend keywords are: ‘TREND’ ‘BECOMING’ ‘INCREASINGLY’ ‘LATELY.’

To narrow-down search-results as much as possible, example (LINK) lists up-to-date search-results of BLOG and NEWS content back to the previous 24 hours.

‘Inference scanning’ also involves rejecting content containing such words as: ‘HE’ ‘SHE’ ‘YOU’ ‘I’ ‘ME’ – as mentions of “he said” “she said” are often indicative of individual statements, which are usually not representative of collective thinking and actions associated with emerging trends.

Quite a few search-results can indicate those important trends which otherwise would “get lost in the shuffle so to speak.” A few of the search-results may even contain content which is “the closest thing to a crystal-ball.”

* Contains word ‘BECOMING’ – Contains any one or more of these words: ‘TREND’ ‘INCREASINGLY’ ‘LATELY’

http://tinyurl.com/3fgqy5t

By: Q3 technologies

Q3 technologies — Fri, 21 Oct 2011 05:45:52 +0000

These are surely some far-reaching implications of Social Media.. Twitter has also recently become the second most popular search engine after Google with its vast information ocean! Product Engineering

By: James

James — Fri, 21 Oct 2011 04:54:31 +0000

Twitter data predicts what happens on Twitter and not necessarily the rest of the world.

By: david k waltz

david k waltz — Thu, 20 Oct 2011 20:47:31 +0000

Given the many articles about “big data”, this will be a rich vein of data and it will be mined. Having run across some interesting semantic analysis on a TED presentation, I can certainly foresee this being utilized. Will it be 100% accurate for everything? No. Will it be a significant factor along with some others? Certainly. It is easy to imagine a sentiment indicator as a companion to a stock trading program, as someone has already mentioned.

By: Mark Panay

Mark Panay — Thu, 20 Oct 2011 06:04:23 +0000

We’ve done similar things in the past. We accurately predicted the outcome of the last UK election (http://simpleweb.co.uk/2010/sarcasm-is-the-lowest-form-of-wit-or-is-it/) using simple semantic analysis. I.e. not just basic positive, negative, neutral sentiment, not just on Twitter I might add. Predicting the future is not really accurate as a statement, although it can most definitely appear that way. A lot like SIRI really. It appears much cleverer than it actually is. Through learning algorithms, pattern matching and crowd sourcing input/test data this area will become more and more accurate and challenge existing systems. We have some very interesting developments coming in this area soon.

By: sghosh

sghosh — Thu, 20 Oct 2011 04:53:38 +0000

Interesting point. I think there is another company out there RecordedFuture, a google company is trying to do the same.