Sentiment Analysis
The cluster focuses on discussions about sentiment analysis techniques, tools, APIs, and applications for analyzing text sentiment in contexts like user feedback, tweets, and corpora.
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The general category of research is sentiment analysis:https://en.wikipedia.org/wiki/Sentiment_analysisHowever that's as much as I know. If you get lucky maybe an expert or user of these tools will see your post!
Disclaimer on this tool, this does not appear to be sentiment analysis, but merely text analytics sometimes known as text mining. The interpretations you draw from that are a lot more wishy washy.
Could this be useful to monitor user sentiment and correlate it with further data from applications/media?
You should try using AI to gauge sentiment.
I feel like you could put posters through a sentiment analysis and maybe use that to write a browser plugin to annotate posters on hn.
They might be analyzing sentiment with LLMs somehow. Which could be a larger scale task.
Neat; thanks for sharing... now, we need a Big Data Analytics / Tone Analyzer package run over it :=D
Rad! Throw some sentiment analysis on that corpus and let your classmates know how they feel!
In this case, what you specifically want is Sentiment Analysis. It's getting pretty accurate+efficient, and should be usable in just this scenario.
What do you use for sentiment analysis?