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I need to evaluate my implementations of Turney's web PMI algorithm, and Hu & Liu's wordnet alorithm for analyzing the sentiment orientation of adjectives. I was wondering - is there a test data set out there I can use, or some other way I can get a good handle on how well the algorithms are working? (I'm looking at them in the context of customer reviews of cameras.)

asked Jul 07 '10 at 13:33

aditi's gravatar image

aditi
85072034

edited Jul 07 '10 at 14:05


4 Answers:

There's the general inquirer dictionary, and the MPQA corpus has been annotated with word polarity information.

answered Jul 07 '10 at 14:25

Alexandre%20Passos's gravatar image

Alexandre Passos ♦
2552653278421

thanks! Also MPQA wins for least helpful annotation format ever.

(Jul 07 '10 at 15:54) aditi

Yes, true enough. I wish I knew any better sentiment dataset with word-level annotations, but I don't.

(Jul 07 '10 at 16:00) Alexandre Passos ♦

General Inquirer is old and is best avoided. Peter Turney did large scale polarity experiments. Try contacting him.

(Jan 03 '12 at 21:44) Delip Rao

According to Rion Snow et al ("Cheap and Fast - But is it Good? Evaluating Non-Expert Annotations for Natural Language Tasks"), you can turk annotate this sort of NLP task for roughly $1 per 1000 labels, and 5 human annotators achieve the accuracy of one expert annotator (IIRC).

So you can probably turk a bunch of labels, which hopefully you would then share with the community. I believe he also released the data that he turked when he wrote the paper. I forget if he did this exact task.

answered Jul 07 '10 at 20:27

Joseph%20Turian's gravatar image

Joseph Turian ♦♦
579051125146

There is sentiwordnet. However, both the MPQA and SentiWordnet resources are built on datasets very different from the product reviews you are looking at. I would recommend using manual judgments based specifically on your data. You could compare to MPQA/SW if you want.

answered Jul 13 '10 at 09:25

Jeff%20Dalton's gravatar image

Jeff Dalton
161

There's also the Dictionary in Affect in Language (DAL), which has about 9k words manually annotated for 'Pleasantness' 'Activation' and 'Imagery'.

answered Jul 13 '10 at 09:34

Andrew%20Rosenberg's gravatar image

Andrew Rosenberg
172272439

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