Re: example of clustering and topic modelling on best practices

Hi everyone,

With every respect to efforts attempting to come up with clever ways of clustering requirements I wonder whether we're not overdoing ourselves? Textual interpretations, clustering and approximate techniques, fuzzy searches and the likes are ok when we're talking about huge amounts of text.
What are we talking about? 50-60 requirements? Some composite, others more detailed? And those mapped to from 50 use cases.

Instead of trying to fit that all in a single document with the latest AI techniques, it might be more efficient just to simply keep track of (i) a list of use cases, (ii) a list of requirements (in which you could have some internal parent-child relationship) and (iii) a mapping table? And add that as an addendum of some sorts to the document.
IMHO, a spreadsheet is suitable here.

From which we could go to the real discussions (instead of ending up with four minutes to discuss the req's about versioning).
Or am I missing some things here? Please enlighten me if so (always happy to learn a thing or two).

Thomas

Op 4 sep. 2017 om 17:07 heeft "Peter.Winstanley@gov.scot<mailto:Peter.Winstanley@gov.scot>" <Peter.Winstanley@gov.scot<mailto:Peter.Winstanley@gov.scot>> het volgende geschreven:

Following on the discussion about ways of slicing and dicing the requirements and use cases…..

https://www.w3.org/2013/share-psi/wiki/Best_Practices/TextClustering



Was just wondering if hierarchical clustering might be helpful, in addition to KWIC indexing or some other permuted index


Peter





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