Open GoogleCodeExporter opened 9 years ago
This should not be a module in DKPro Core. It should better be an independent
project and moved to DKPro Core if the following conditions are true:
- Others want to contribute and reuse
- There exist 3rd-party libraries for sentiment analysis
Original comment by nico.erbs@gmail.com
on 11 Nov 2013 at 2:30
I have been thinking about DKPro Sentiment for a while.
Is there a general model beyond dictionary-based methods that the project could
model?
Original comment by torsten....@gmail.com
on 11 Nov 2013 at 3:24
[deleted comment]
We couldn't think of any more generic model but we haven't invested too much
time. I think it is the right time to start such a project and invite others
with more experience about sentiment analysis to contribute.
Original comment by nico.erbs@gmail.com
on 11 Nov 2013 at 4:56
FTR: there is a demo module in DKPro-TC which does sentiment (polarity)
detection.
Original comment by daxenber...@gmail.com
on 12 Nov 2013 at 8:21
It appears, there will be sentiment analysis in the next CoreNLP version:
http://nlp.stanford.edu/sentiment/code.html
Code for Deeply Moving: Deep Learning for Sentiment Analysis
The original code was written in Matlab. Due to the strong interest in this
work we decided to re-write the entire algorithm in Java for easier and more
scalable use without license restrictions. In this alpha release we focus on
the testing portion of the code that gives the published results. The code
already includes the training procedures. At the end of October we will update
this package with further documentation and faster training code.
This model will be part of the next Stanford CoreNLP release and the below code
includes the entire CoreNLP package. It includes the model source code, as well
as the parser and sentence splitter among other functionality.
Download alpha version: stanford-corenlp-full-2013-10-21.zip (211MB)
You can run this code with our trained model on text files with the following
command:
java -cp "*" -mx5g edu.stanford.nlp.sentiment.SentimentPipeline -file foo.txt
Original comment by richard.eckart
on 12 Nov 2013 at 9:13
Hi ..I am looking for a trusted and easier way to do text-based sentiment
analysis with Matlab .. and what I expect is that in the result of each row of
my matrix (each row includes a text file) show me positive or negative or even
if there is any professional tools or code which let me to have Author
personality could be very very useful.
thanks in advance
Original comment by asan...@gmail.com
on 18 May 2014 at 12:47
@asana86: Please do check out page from Stanford mentioned above. We plan do
integrate these components into DKPro Core at some point, but currently we did
not do so. Mind that the everything below the link in the comment above has
been copied from the linked page for our convenience. We DKPro Core people did
*not* create or contribute to this sentiment analysis code.
Original comment by richard.eckart
on 18 May 2014 at 1:21
Hi, I've implemented a DKPro annotator for sentiment analysis on sentence level
with 5-scores granularity of sentiment (wrapper of Stanford CoreNLP 3.4
sentiment analyzer, http://www-nlp.stanford.edu/sentiment/code.html). Pros: Out
of box functionality, pre-trained models, good results. Cons: Currently it runs
the whole Stanford pipeline (tokenization, POS, parsing), so it's slow; better
seamless integration would require mapping existing DKPro annotations (POS,
parse tree) to Stanford annotations, not sure how demanding that is. What will
be the best way to integrate it to the next release of DKPro core?
Original comment by ivan.hab...@gmail.com
on 17 Jul 2014 at 11:57
I believe we have code somewhere to transform DKPro Core annotations into the
Stanford structures. I need to dig around a bit to find those.
I would suggest to add the component as is to DKPro Core GPL trunk into the
CoreNLP module and then we'll look what needs to be done to improve it. I'd
also suggest to open a separate issue for the CoreNLP sentiment integration -
this issue is just about adding annotation types for sentiment analysis which
should be independent of a particular sentiment analysis implementation. We
should probably add a new api.sentiment module for these types.
Original comment by richard.eckart
on 17 Jul 2014 at 12:02
Ok, I opened a separate bug for it #424 and submitted two patches (one for
dkpro-asl with typesystem, one for dkpro-gpl with wrapper for Stanford
sentiment analyzer).
Original comment by ivan.hab...@gmail.com
on 18 Jul 2014 at 11:59
Original issue reported on code.google.com by
pedrobss...@gmail.com
on 11 Nov 2013 at 11:46