Reply to Help me Edit: Response to Brookings Report

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[quote=Anonymous][quote=Anonymous]Out of curiosity, is there anyone who believes the actual academic scholarship done here (word frequency analysis without contextual controls) qualifies as good scholarship? I'm not sure I have seen a Brookings-level report before where the discussion about the publication is so unanimous in agreement that the underlying methodology is significantly flawed. Maybe I am missing something, though.[/quote]

It's a really bad methodology.

For example, here's a paper from 2012 that covers something that was current then:

https://dl.acm.org/doi/abs/10.5555/2390500.2390505

[quote]This tutorial aims to cover the basic motivation, ideas, models and learning algorithms in deep learning for natural language processing. 
Recently, these methods have been shown to perform very well on various NLP tasks such as language modeling, POS tagging, [b]named entity recognition[/b], [b]sentiment analysis[/b] and paraphrase detection, among others.[/quote]

"Named entity recognition" is something like figuring out whether IB means "inbounds" or "International Baccalaureate".  
"Sentiment analysis" is the core of what Vanessa Williamson is trying to do with the data: figure out how people feel about different schools.

This is a tutorial.  From 2012.  It was old stuff then.[/quote]

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