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PyML-0.7.9
neg
neg_adj
neg_position
neg_tagged
pos
pos_adj
pos_position
pos_tagged
pysvmlight
subjectivity
.gitignore
Indexes.py
README
adjectives_filter.py
classifier.py
data.py
human.py
me.py
movie.py
ngrams.py
position_tagger.py
svm.py
svm2.py
validate.py
yelp.py

README

==============================================================================
Linking to Yelp dataset (via a symlink)
==============================================================================
ln -s $HOME/Dropbox/sentiment-data/yelp/ yelp

==============================================================================
Toolkits
==============================================================================
Oliver Mason's Qtag program [http://phrasys.net/uob/om/software]

==============================================================================
For setting up Maximum Entropy Modeling Toolkit for Python and C++
==============================================================================
Main page [http://homepages.inf.ed.ac.uk/lzhang10/maxent_toolkit.html]
Source [https://github.com/lzhang10/maxent]
Wonderful documentation, except for the missing Python API reference [http://homepages.inf.ed.ac.uk/lzhang10/software/maxent/manual.pdf]

DEPENDENCIES
zlib [http://www.techsww.com/tutorials/libraries/zlib/installation/installing_zlib_on_ubuntu_linux.php]
libboost [apt-get]
jam [apt-get]

Important points
* L-BFGS is the default parameter estimating method in this toolkit.

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