Sentiment Analysis
topic on 3 shows · 3 statements across 3 episodes
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the MAD Podcast
3 statements about Sentiment Analysis, every show
Levine: General Language Models Proved Easier Than Narrow NLP Systems
“Again, in much the same way that for language models, it turned out to be Easier in some ways to solve natural language tasks in their full generality than to narrowly target like machine translation or sentiment analysis or whatever.”
Swan: Likefolio's sentiment analysis model has a 2% to 4% error rate
“About two to four percent, depending on the company, of our sentiment where we're, we register a sentiment, positive or negative, is a miss.”
Mason: Sentiment analysis remains fundamentally unsolved due to lacking ground truth
“I think there are a couple of things that everyone thinks are solved problems that are absolutely not, and so something like sentiment analysis is something where we sort of take for granted that you can just plug into an API and get a number back, but this is…”