4 ms·

You should use better examples. Just parsing text that says "I'm so sad", or "I'm happy!" isn't noteworthy.

• lotyrin 11y ago
  Unfortunately, Watson's sentiment detection is not capable of anything noteworthy.
  • mtw 11y ago
    what would be a better sentiment analysis tool?
    • nl 11y ago
      Metamind's sentiment analysis tool[1] is probably about the best you can get, especially for short text. Try the "Tweet" version (a tab on that page or available separately[2]). Sentiment on short text is pretty hard. Metamind claims 81.73%[3], although that appears to be for general text (not just Tweets). Anything above ~70% accuracy would be competitive with the state of the art on Twitter data[4]. [1] https://www.metamind.io/classifiers/155 https://www.metamind.io/classifiers/155 [2] https://www.metamind.io/language/twitter https://www.metamind.io/language/twitter [3] https://www.metamind.io/classifiers/155/stats https://www.metamind.io/classifiers/155/stats [4] http://www.lrec-conf.org/proceedings/lrec2014/pdf/483_Paper.pdf http://www.lrec-conf.org/proceedings/lrec2014/pdf/483_Paper....