Hi @idril, this is an interesting approach! Could you please add some more information about how you gathered the data (steemsql? core query / time range / ...). I'll approve your contribution right after.
RE: Trending tags NLP Analysis: choosing a more general or a more specific tag to generate impact
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Trending tags NLP Analysis: choosing a more general or a more specific tag to generate impact
Thank you @crokkon for the reply :). Here is some additional information about the data collection process. The data was collected from the Steemit page from the Tags section on Thursday, February 8, 2018 at around 10 am CET. The scraped data (the tags and associated counts and measurements: posts, comments, payouts) was imported and processed using Python while for the NLP processing the wordnet library for Python was employed. There was no reason in particular for selecting the data on this time or day, but the need of accessing real data for performing the analysis and drawing the conclusions.
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Thanks, could you just add this information to the post above?
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I updated the post where I included in the Details section the data collection details. Thanks for the support :) !
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