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Coaching Change not cheap
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<blockquote data-quote="IEEEWreck" data-source="post: 542062" data-attributes="member: 617"><p>This is an interesting problem. There's substantial published work that is probably quite similar in politics on questions like approval or likeability or in marketing on brand perception. These tend to use word vector based machine learning models. In many ways the blueprint is there to take up, and tuning the model for 'energy' would be a worthwhile exercise if you want to get into machine learning on language datasets. Of course, you'd need a data source, like Lexis Nexis, and some machine learning compute resources. The first is more expensive. Would be fun to hack around on.</p><p></p><p>I think the larger model after making a hype metric would be problematic though. I suspect trying to control for resources along with a pretty limited data set would be tough.</p></blockquote><p></p>
[QUOTE="IEEEWreck, post: 542062, member: 617"] This is an interesting problem. There's substantial published work that is probably quite similar in politics on questions like approval or likeability or in marketing on brand perception. These tend to use word vector based machine learning models. In many ways the blueprint is there to take up, and tuning the model for 'energy' would be a worthwhile exercise if you want to get into machine learning on language datasets. Of course, you'd need a data source, like Lexis Nexis, and some machine learning compute resources. The first is more expensive. Would be fun to hack around on. I think the larger model after making a hype metric would be problematic though. I suspect trying to control for resources along with a pretty limited data set would be tough. [/QUOTE]
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