brain of mat kelcey
sentiment analysis training data using mechanical turk
March 12, 2010 at 09:57 PM | categories: twitter, mechanical turk, analysis, sentiment | View Comments
want to try doing some sentiment analysis work on tweets but i need some good training data.i could label a heap of tweets myself as being positive, neutral or negative but instead this seems to be the perfect job for mechanical turkso i put up 100 'cream cheese' tweets on mechanical turk, asked for 3 opinions per tweet and offered $0.01 per opinion. took under 30 minutes to get back all 300 opinions and only cost $4.50 ($3 for the work, $1.50 admin fee)the results are interesting in themselves...mostly they are consistent;for example all three sentiments for bagels and cream...
old projects...
- latent semantic analysis via the singular value decomposition (for dummies)
- semi supervised naive bayes
- statistical synonyms
- round the world tweets
- decomposing social graphs on twitter
- do it yourself statistically improbable phrases
- should i burn it?
- the median of a trillion numbers
- deduping with resemblance metrics
- simple supervised learning / should i read it?
- audioscrobbler experiments
- chaoscope experiment