stanford corenlp

[jalal@goku entity-sentiment-analysis]$ python parse_doc.py
Parsing Document...
Tokenizing sentences...
Done!
Anaphora resolution for sentence: Jean is really sad, but Adam is the happiest guy ever
Done!
Named Entity Clustering:
('child is: ', Tree('FRAG', [Tree('S', [Tree('S', [Tree('NP', [Tree('NNP', ['Jean'])]), Tree('VP', [Tree('VBZ', ['is']), Tree('ADJP', [Tree('RB', ['really']), Tree('JJ', ['sad'])])])]), Tree(',', [',']), Tree('CC', ['but']), Tree('S', [Tree('NP', [Tree('NNP', ['Adam'])]), Tree('VP', [Tree('VBZ', ['is']), Tree('NP', [Tree('DT', ['the']), Tree('JJS', ['happiest']), Tree('NN', ['guy'])]), Tree('ADVP', [Tree('RB', ['ever'])])])])])]))
(ROOT
  (FRAG
    (S
      (S (NP (NNP Jean)) (VP (VBZ is) (ADJP (RB really) (JJ sad))))
      (, ,)
      (CC but)
      (S
        (NP (NNP Adam))
        (VP
          (VBZ is)
          (NP (DT the) (JJS happiest) (NN guy))
          (ADVP (RB ever)))))))
('*************Node label is: ', u'ROOT')
('child is: ', Tree('S', [Tree('S', [Tree('NP', [Tree('NNP', ['Jean'])]), Tree('VP', [Tree('VBZ', ['is']), Tree('ADJP', [Tree('RB', ['really']), Tree('JJ', ['sad'])])])]), Tree(',', [',']), Tree('CC', ['but']), Tree('S', [Tree('NP', [Tree('NNP', ['Adam'])]), Tree('VP', [Tree('VBZ', ['is']), Tree('NP', [Tree('DT', ['the']), Tree('JJS', ['happiest']), Tree('NN', ['guy'])]), Tree('ADVP', [Tree('RB', ['ever'])])])])]))
(FRAG
  (S
    (S (NP (NNP Jean)) (VP (VBZ is) (ADJP (RB really) (JJ sad))))
    (, ,)
    (CC but)
    (S
      (NP (NNP Adam))
      (VP
        (VBZ is)
        (NP (DT the) (JJS happiest) (NN guy))
        (ADVP (RB ever))))))
('*************Node label is: ', u'FRAG')
('child is: ', Tree('S', [Tree('NP', [Tree('NNP', ['Jean'])]), Tree('VP', [Tree('VBZ', ['is']), Tree('ADJP', [Tree('RB', ['really']), Tree('JJ', ['sad'])])])]))
('child is: ', Tree(',', [',']))
('child is: ', Tree('CC', ['but']))
('child is: ', Tree('S', [Tree('NP', [Tree('NNP', ['Adam'])]), Tree('VP', [Tree('VBZ', ['is']), Tree('NP', [Tree('DT', ['the']), Tree('JJS', ['happiest']), Tree('NN', ['guy'])]), Tree('ADVP', [Tree('RB', ['ever'])])])]))
(S
  (S (NP (NNP Jean)) (VP (VBZ is) (ADJP (RB really) (JJ sad))))
  (, ,)
  (CC but)
  (S
    (NP (NNP Adam))
    (VP
      (VBZ is)
      (NP (DT the) (JJS happiest) (NN guy))
      (ADVP (RB ever)))))
('*************Node label is: ', u'S')
___________I am here
('child is: ', Tree('NP', [Tree('NNP', ['Jean'])]))
('child is: ', Tree('VP', [Tree('VBZ', ['is']), Tree('ADJP', [Tree('RB', ['really']), Tree('JJ', ['sad'])])]))
(S (NP (NNP Jean)) (VP (VBZ is) (ADJP (RB really) (JJ sad))))
('*************Node label is: ', u'S')
___________I am here
('*************subchild_labels are: ', [u'NNP'])
I am here ***************************
('child is: ', u',')
(, ,)
('*************Node label is: ', u',')
('child is: ', u'but')
(CC but)
('*************Node label is: ', u'CC')
('child is: ', Tree('NP', [Tree('NNP', ['Adam'])]))
('child is: ', Tree('VP', [Tree('VBZ', ['is']), Tree('NP', [Tree('DT', ['the']), Tree('JJS', ['happiest']), Tree('NN', ['guy'])]), Tree('ADVP', [Tree('RB', ['ever'])])]))
(S
  (NP (NNP Adam))
  (VP
    (VBZ is)
    (NP (DT the) (JJS happiest) (NN guy))
    (ADVP (RB ever))))
('*************Node label is: ', u'S')
___________I am here
('*************subchild_labels are: ', [u'NNP'])
I am here ***************************
('child is: ', Tree('NNP', ['Jean']))
(NP (NNP Jean))
('*************Node label is: ', u'NP')
('child is: ', Tree('VBZ', ['is']))
('child is: ', Tree('ADJP', [Tree('RB', ['really']), Tree('JJ', ['sad'])]))
(VP (VBZ is) (ADJP (RB really) (JJ sad)))
('*************Node label is: ', u'VP')
('child is: ', Tree('NNP', ['Adam']))
(NP (NNP Adam))
('*************Node label is: ', u'NP')
('child is: ', Tree('VBZ', ['is']))
('child is: ', Tree('NP', [Tree('DT', ['the']), Tree('JJS', ['happiest']), Tree('NN', ['guy'])]))
('child is: ', Tree('ADVP', [Tree('RB', ['ever'])]))
(VP (VBZ is) (NP (DT the) (JJS happiest) (NN guy)) (ADVP (RB ever)))
('*************Node label is: ', u'VP')
('child is: ', u'Jean')
(NNP Jean)
('*************Node label is: ', u'NNP')
('child is: ', u'is')
(VBZ is)
('*************Node label is: ', u'VBZ')
('child is: ', Tree('RB', ['really']))
('child is: ', Tree('JJ', ['sad']))
(ADJP (RB really) (JJ sad))
('*************Node label is: ', u'ADJP')
('child is: ', u'Adam')
(NNP Adam)
('*************Node label is: ', u'NNP')
('child is: ', u'is')
(VBZ is)
('*************Node label is: ', u'VBZ')
('child is: ', Tree('DT', ['the']))
('child is: ', Tree('JJS', ['happiest']))
('child is: ', Tree('NN', ['guy']))
(NP (DT the) (JJS happiest) (NN guy))
('*************Node label is: ', u'NP')
('child is: ', Tree('RB', ['ever']))
(ADVP (RB ever))
('*************Node label is: ', u'ADVP')
('child is: ', u'really')
(RB really)
('*************Node label is: ', u'RB')
('child is: ', u'sad')
(JJ sad)
('*************Node label is: ', u'JJ')
('child is: ', u'the')
(DT the)
('*************Node label is: ', u'DT')
('child is: ', u'happiest')
(JJS happiest)
('*************Node label is: ', u'JJS')
('child is: ', u'guy')
(NN guy)
('*************Node label is: ', u'NN')
('child is: ', u'ever')
(RB ever)
('*************Node label is: ', u'RB')
('context: ', [(u' Jean', u'Jean is really sad'), (u' Adam', u'Adam is the happiest guy ever')])
Jean is really sad
Adam is the happiest guy ever
[[(u' Jean', u'Jean is really sad'), (u' Adam', u'Adam is the happiest guy ever')]]
Done!
2018-04-21 16:38:28.870963: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPU computations.
2018-04-21 16:38:28.870992: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are available on your machine and could speed up CPU computations.
2018-04-21 16:38:28.871000: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations.
2018-04-21 16:38:28.871007: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX2 instructions, but these are available on your machine and could speed up CPU computations.
2018-04-21 16:38:28.871015: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use FMA instructions, but these are available on your machine and could speed up CPU computations.
Sentence: 0,Jean is really sad , yielded results (pos/neg): 0.35309/0.64691, prediction: neg
Sentence: 0,Adam is the happiest guy ever , yielded results (pos/neg): 0.97347/0.02653, prediction: pos
Entity:  Jean -- sentiment: -0.293821
Entity:  Adam -- sentiment: 0.94695
{u' Jean': -0.29382148, u' Adam': 0.94694996}
[jalal@goku entity-sentiment-analysis]$