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I wonder how NLP sentiment work varies from transcribed in-person conversations to discussions online. I don't think the same tags ("yes," "hmm," "note that," etc.) work quite the same way across contexts
Part of it is probably just that all the layers of in-person interaction (content + tone + body language, etc.) plus the richness of in-person relationship history means that there are a lot of kinds of nuance that are both less present and sometimes *forced to collapse* in text
I mean, I *know* that people have been talking about how easy it is to misinterpret intent from text for ages... but I also think we've possibly been trained by way of low-resolution text tools to *start* with less emotional range when we're dealing with Internet People.
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