You are viewing a plain text version of this content. The canonical link for it is here.
Posted to dev@opennlp.apache.org by Anastasija Mensikova <me...@gmail.com> on 2016/06/17 21:28:45 UTC
Sentiment Analysis Parser updates
Hello everyone,
Some updates on my work on the Sentiment Analysis Parser.
As you know, I have finished a basic version of the parser, and I'm
currently working on going through the results of the parser run on the gun
ads the right way so I can easily build graphs to illustrate how it all
works.
As you probably noticed, I changed some parts of the parser allowing it to
output the data in JSON. I have also worked on creating scripts (not on
GitHub) that load the 100 random gun ads, perform sentiment analysis on
them using the parser and output the data needed for the graph. Using the
output I received I have already managed to build two graphs using D3: one
solely on the distribution of sentiment among the gun ads, and the other
one on the distribution of sentiment of the gun ads in the countries (where
the guns were made) presented, which you can all see on our GitHub page.
I hope you have a great weekend!
Thank you,
Anastasija.
Re: Sentiment Analysis Parser updates
Posted by "Mattmann, Chris A (3980)" <ch...@jpl.nasa.gov>.
Great update Anastasija!
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
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.mattmann@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 6/17/16, 2:28 PM, "Anastasija Mensikova" <me...@gmail.com> wrote:
>Hello everyone,
>
>Some updates on my work on the Sentiment Analysis Parser.
>
>As you know, I have finished a basic version of the parser, and I'm
>currently working on going through the results of the parser run on the gun
>ads the right way so I can easily build graphs to illustrate how it all
>works.
>As you probably noticed, I changed some parts of the parser allowing it to
>output the data in JSON. I have also worked on creating scripts (not on
>GitHub) that load the 100 random gun ads, perform sentiment analysis on
>them using the parser and output the data needed for the graph. Using the
>output I received I have already managed to build two graphs using D3: one
>solely on the distribution of sentiment among the gun ads, and the other
>one on the distribution of sentiment of the gun ads in the countries (where
>the guns were made) presented, which you can all see on our GitHub page.
>
>I hope you have a great weekend!
>
>Thank you,
>Anastasija.
Re: Sentiment Analysis Parser updates
Posted by "Mattmann, Chris A (3980)" <ch...@jpl.nasa.gov>.
Great update Anastasija!
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
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.mattmann@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 6/17/16, 2:28 PM, "Anastasija Mensikova" <me...@gmail.com> wrote:
>Hello everyone,
>
>Some updates on my work on the Sentiment Analysis Parser.
>
>As you know, I have finished a basic version of the parser, and I'm
>currently working on going through the results of the parser run on the gun
>ads the right way so I can easily build graphs to illustrate how it all
>works.
>As you probably noticed, I changed some parts of the parser allowing it to
>output the data in JSON. I have also worked on creating scripts (not on
>GitHub) that load the 100 random gun ads, perform sentiment analysis on
>them using the parser and output the data needed for the graph. Using the
>output I received I have already managed to build two graphs using D3: one
>solely on the distribution of sentiment among the gun ads, and the other
>one on the distribution of sentiment of the gun ads in the countries (where
>the guns were made) presented, which you can all see on our GitHub page.
>
>I hope you have a great weekend!
>
>Thank you,
>Anastasija.