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You can try by yourself. https://alchemy-language-demo.mybluemix.net/ https://alchemy-language-demo.mybluemix.net/ Imagine analyzing product reviews to determi

You can try by yourself. https://alchemy-language-demo.mybluemix.net/ https://alchemy-language-demo.mybluemix.net/ Imagine analyzing product reviews to determine if it was positive or negative. Type "I like it", and see the inaccurate targeted sentiment (neutral sentiment instead of positive).

guyfawkes303 9y ago
I tried this, and while 'targeted sentiment' may be neutral, 'document emotion' has Joy at 0.880435 vs the rest at 0. If you change your example from 'I like it' to 'I like puppies', the 'targeted sentiment' changes from neutral to 'puppies positive 0.550431'. While the first example you found does seem odd, the rest seems to work quite well. Maybe it just has problems attaching 'it' to a 'target'.
- foldr 9y ago
  It has trouble with negation outside the relevant clause. So it is not fooled by e.g. "I don't hate it" vs. "I don't like it", but the first of the following two sentences is rated more negative than the second: I don't seem to hate it. I don't seem to like it. Edit: In fact it can even be fooled just by increasing the linear distance between a positive term and negation. The following is rated +0.6! I don't in any way shape or form like it.
tensor 9y ago
Google has a similar API: https://cloud.google.com/natural-language/ https://cloud.google.com/natural-language/
- oceanswave 9y ago
  Microsoft too: https://azure.microsoft.com/en-us/services/cognitive-services/text-analytics/ https://azure.microsoft.com/en-us/services/cognitive-service...
te_chris 9y ago
Alchemy was an acquisition.
- mwambua 9y ago
  It was an odd acquisition considering IBM Watson's supposed sophistication. Why not just use Watson's components rather than acquiring a company that did roughly the same thing?
  - PeterisP 9y ago
    Which components? The Jeopardy-Watson didn't have any components immediately relevant to targeted sentiment analysis; it would make sense to acquire the missing components externally. Quite a few seemingly similar AI/natural language/etc problems are actually very separate.
hervature 9y ago
I think this is actually very accurate as to how humans use the sentence "I like it". If you cook dinner for someone and you ask how it is and they say "I like it" it generally means it's not bad but also not good. Edit: My suspicion was confirmed when I tried "I like it a lot" had a positive sentiment with 0.711.
- foldr 9y ago
  "I couldn't live without it" is rated -0.6.

guyfawkes303 9y ago

I tried this, and while 'targeted sentiment' may be neutral, 'document emotion' has Joy at 0.880435 vs the rest at 0. If you change your example from 'I like it' to 'I like puppies', the 'targeted sentiment' changes from neutral to 'puppies positive 0.550431'. While the first example you found does seem odd, the rest seems to work quite well. Maybe it just has problems attaching 'it' to a 'target'.

foldr 9y ago
It has trouble with negation outside the relevant clause. So it is not fooled by e.g. "I don't hate it" vs. "I don't like it", but the first of the following two sentences is rated more negative than the second: I don't seem to hate it. I don't seem to like it. Edit: In fact it can even be fooled just by increasing the linear distance between a positive term and negation. The following is rated +0.6! I don't in any way shape or form like it.

tensor 9y ago

Google has a similar API: https://cloud.google.com/natural-language/ https://cloud.google.com/natural-language/

oceanswave 9y ago
Microsoft too: https://azure.microsoft.com/en-us/services/cognitive-services/text-analytics/ https://azure.microsoft.com/en-us/services/cognitive-service...

te_chris 9y ago

Alchemy was an acquisition.

mwambua 9y ago
It was an odd acquisition considering IBM Watson's supposed sophistication. Why not just use Watson's components rather than acquiring a company that did roughly the same thing?
- PeterisP 9y ago
  Which components? The Jeopardy-Watson didn't have any components immediately relevant to targeted sentiment analysis; it would make sense to acquire the missing components externally. Quite a few seemingly similar AI/natural language/etc problems are actually very separate.

hervature 9y ago

I think this is actually very accurate as to how humans use the sentence "I like it". If you cook dinner for someone and you ask how it is and they say "I like it" it generally means it's not bad but also not good. Edit: My suspicion was confirmed when I tried "I like it a lot" had a positive sentiment with 0.711.

foldr 9y ago
"I couldn't live without it" is rated -0.6.