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>There's not really any such thing as "sentiment". You can classify reviews as positive or negative, and then train a model to reproduce those annotations prett
by wu-ikkyu 10y ago
>There's not really any such thing as "sentiment". You can classify reviews as positive or negative, and then train a model to reproduce those annotations pretty accurately.
Here's an example of what I'm looking for in terms of sentiment and emotion.
https://natural-language-understanding-demo.mybluemix.net https://natural-language-understanding-demo.mybluemix.net
Journal entries can be given an overall positive/negative sentiment rating and then plotted on a line graph over time.
Drops in positivity could then be further analyzed by looking at the keywords and concepts of the affected time period.
Similar analysis could be done with the emotional analysis (i.e. joy, anger, fear).
I've input a couple test journal entries into that example and it seems feasible, but I'm looking for something free and/or that I could host myself though I realize I may be asking for more than I can get.
- syllogism 10y agoYou can train a system like this using free tools, but you need the training data. I'm not sure how IBM trained this system. Honestly I find the accuracy here pretty indistinguishable from chance --- I think there's a strong Barnum effect here.