Thank you Jason! ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ 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: chris.a.mattm...@nasa.gov WWW: http://sunset.usc.edu/~mattmann/ ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Director, Information Retrieval and Data Science Group (IRDS) Adjunct Associate Professor, Computer Science Department University of Southern California, Los Angeles, CA 90089 USA WWW: http://irds.usc.edu/ ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
On 6/22/16, 8:41 PM, "Jason Baldridge" <jasonbaldri...@gmail.com> wrote: >Anastasija, > >There might be a few appropriate sentiment datasets listed in my homework >on Twitter sentiment analysis: > >https://github.com/utcompling/applied-nlp/wiki/Homework5 > >There may also be some useful data sets in the Crowdflower Open Data >collection: > >https://www.crowdflower.com/data-for-everyone/ > >Hope this helps! > >-Jason > >On Wed, 22 Jun 2016 at 15:59 Anastasija Mensikova < >mensikova.anastas...@gmail.com> wrote: > >> Hi everyone, >> >> Some updates on our Sentiment Analysis Parser work. >> >> You might have noticed, I have enhanced our website (the GH page) recently, >> polished it and made it more user-friendly. My next step will be sending a >> pull request to Tika. However, my main goal until the end of Google Summer >> of Code is to enhance the parser in a way that will allow it to work >> categorically (in other words, the sentiment determined won't be just >> positive or negative, it will have a few categories). This means that my >> next step is to look for a categorical open data set (which I will >> hopefully do by the end of the weekend the latest) and, of course, enhance >> my model and training. After that I will look into how the confidence >> levels can be increased. >> >> Have a great day/night! >> >> Thank you, >> Anastasija Mensikova. >>
