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Showing posts with label SocioPragmatics. Show all posts
Showing posts with label SocioPragmatics. Show all posts

Friday, May 15, 2015

More on SocioPragmatic Text Models

Yesterday posted about the talk on SocioPragmatic text Modeling.   More has been published in the Cognitive Systems Institute Linkedin Group,    I quote some of my recent input below   This is a new kind of text classification modeling based on consumer cognition .

" .. Also mentioned in this talk, the potential use of this approach for market research. Suppose a subgroup is the collection of likely buyers of your product? Then classification based on this approach would predict sales. This is another example of 'non conscious' classification, like methods called 'neuromarketing', which often use electroencephalographic techniques, being used by some companies today to augment classic market techniques. This would be far cheaper to implement on more people, even in mobile environments. Using this with multiple languages could provide global reach, also a plus. Consider its use with Twitter streams.  There is real potential here. ... 

This Sociopragmatic method also relates to the 'User Modeling' Watson capability, now available free to test on Bluemix. That method claims a psychological, rather than social-linguistic classification basis. A comparison of the two methods value would be very interesting. Say with the same Twitter stream? Will bring this up with a retailer or manufacturer.  ... "

Hope there will be more input there, feel free to connect and join in.

Thursday, May 14, 2015

SocioPragmatic Models of Text Analysis

Mona Diab of GWU gave the CSI  talk today:

Towards Building Effective Computational Sociopragmatics Models of Human Cognition

Slides.   For talk recording, go here, and follow instructions using Replay ID: 471310086028

Though technical, the implications can be understood from the slides.

Excellent talk on the use of modeling to analyze text to better understand its meaning from a social and pragmatic - usage perspective.  Including alignment and participation in groups.   Detection and analysis of subgroups.  Looks at how this can be used for multiple languages.  Its use for marketing engagement was also mentioned and briefly discussed.   Sponsored by DARPA and IARPA

" .. Before joining GWU, Mona was Research Scientist (Principle Investigator) at the Center for Computational Learning Systems (CCLS). She is also co-founder of the CADIM group which is one of the reference points on computational processing of Arabic and its dialects.   Her Link.