◀ bigdata
 

Stanford researchers to open source model they say has nailed sentiment analysis

slowandrepetitive

Stanford Ph.D. student Richard Socher appreciates the work Google and others are doing to build neural networks that can understand human language. He just thinks his work is more useful — and he’s going to share his code with anyone who wants to see it.Along with a team of Stanford researchers that includes machine learning expert and Coursera co-founder Andrew Ng, Socher has developed a computer model that can accurately classify the sentiment of a sentence 85 percent of the time. The previous state of the art for this task — essentially, discerning whether the overall tone of a sentence is positive or negative — peaked at about 80 percent

Go To Source
comments powered by Disqus
04 Oct
Peter Skomoroch @peteskomoroch
RT @hkanji: Stanford researchers to open source model they say has nailed sentiment analysis http://t.co/uPgIuT17Wr
04 Oct
Diane Hayes, PhD @DianeHayesPhD
Open to anyone! Stanford researchers to open source model they say has nailed sentiment analysis http://t.co/91Ww1aFT3I
03 Oct
joseph misiti @josephmisiti
Stanford to release open source NLP algorithm http://t.co/1vjB7Adf6y
03 Oct
Marly Cho @BITechWatch
Stanford researchers to open source model they say has nailed sentiment analysis: A group of research... http://t.co/LPV6zXpaRk #bigdata
03 Oct
Planet big data @planetbigdata
Stanford researchers to open source model they say has nailed sentiment analysis: A group of research... http://t.co/ZMHvl6TBDI #bigdata
03 Oct
Wenming Ye @wenmingye
RT @gigaom: Stanford researchers to open source model they say has nailed sentiment analysis http://t.co/x04UQdDC50