Re: GSoC 2016: OpenNLP Sentiment Analysis

thanks Anthony ++ Chris Mattmann, Ph.D. Chief Architect Instrument Software and Science Data Systems Section (398) NASA Jet Propulsion Laboratory Pasadena, CA 91109 USA Office: 168-519, Mailstop: 168-527 Email:

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Re: GSoC 2016: OpenNLP Sentiment Analysis

Hi Rodrigo, Thank you for sharing, SemEval is a good reference. An aspect based classifier/quantifier would be nice to have in the kit. In the google doc we have referred to aspects as "topics". We have discussed making the initial functionality to work regardless of the entities in the text.

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