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Monitoring brand using discourse analysis

 

Learning public opinion (or sentiment) about Your brand in traditional way is expensive because surveys or focus groups take much time and human work. Probably in near future alternative solution will gain recognition as some technology vendors launched tools for brand monitoring using text analytics. Initial review of these attempts appeared yesterday on SmartData Collective.

Monitoring brand using discourse analysis differs, to some extent, from the approach based on text analysis. I have very fresh example – a tool for monitoring opinion about retail nets (supermarkets). And now some words how it is made and how it works.

Building Monitor. Analysis of the discourse in the corpus of Internet discussions related to supermarkets gave a collection of subjects interesting for interlocutors, and a collection of expressions of their attitudes.  Using these results the complex queries for semantic search were built for the learning research. It is the crucial stage – we should learn very details of the discourse, and get its math at the same time, as the basis for justification and calibration of the Monitor. The final task is relatively easy – to implement the results and build a “machine” using accessible technology.

How Monitor works. The data for each retail brand is collected using semantic search. Monitor makes all the calculus according to calibrating formulas and provides figures ready for presentation. Please see the pictures made for presentation only (not production version).

First are the “profile” – how the brand is perceived, i. e. how it is distinguished vs the average Internet discourse. The result of such kind is often astonishing because the picture dramatically differs from that of Customer’s (user of monitor) wishes, from official image and marketing buzz. Moreover, the interlocutors’ categories (vertical in the charts) also differ.

Then there is a comparison of the brands monitored. The charts show how people value each brand with regard to the same categories.  2 charts with negative opinions (general index only) are presented as the example.

The third important group of results regards monitoring itself, i. e. presentation of the changes. It depends on the Customer needs. Some customers want to observe the effects of promotional campaigns, and for such purpose day-to-day monitoring is appropriate. Some want to know the general trends… etc.

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  1. 2009/08/29 at 20:31

    Will you offer Monitor as a tool for others to use? I track the market for tools and services like this, and I’d like to know more about what you’re doing. I have some projects that should include you.

    – Nathan

    Nathan Gilliatt
    Principal, Social Target
    http://www.socialtarget.com/
    http://socialmediaanalysis.com/

  2. Andrzej Góralczyk
    2009/08/29 at 23:19

    Yes. Actually I offer 2 options:
    1. Monitor built for business User, in the simple form of 2 gnumeric spreadsheets, manual and support. Building and tailoring Monitor takes 2-3 weeks. Support includes recalibration from time to time, as Internet is always changing.
    2. Monitoring as a service.

    The choice depends simply on the popularity of the subject and frequency of the query terms in the subject domain in the web. For low figures option #2 is appropriate, as the queries are quite complex and average user makes too many errors. Also the math depends on these figures and subject domain, and can make some trouble to the average user (as forms have several sections).

    For English language I need a bit of assistance of native speaker in the stage of discourse analysis, of course.

  1. 2016/12/16 at 08:17

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