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Hey guys, my startup (Wingify) has exposed an API for determining sentiment and context from any URL or piece of text. I'll be glad if you could review it. Con
by paraschopra 17y ago
Hey guys, my startup (Wingify) has exposed an API for determining sentiment and context from any URL or piece of text. I'll be glad if you could review it.
ContextSense was made to demonstrate our contextual targeting capabilities -- and sentiment aspect was added to avoid traditional blunders of displaying ads on pages/news on catastrophies. Best to try ContextSense with text heavy URLs. Also try it with news items (both positive and negative).
I will be happy to provide API access in case any of you is interested in trying it out.
- elcron 17y agoCool! I tried something like this, it classified blog posts into 100 different moods... it had ~8% accuracy (It also classified as positive or negative, but I don't remember the accuracy, I'll have to dig it up at some point...). Good luck with it.
- paraschopra 17y agoDo you remember what was it? I will be really curious to have a look. Thanks.
- elcron 17y agoIt was accurate around 56% of the time classifying as positive, negative, or neutral. I used a naive Bayesian classifier and guessed the highest rather than showing the percent positive.