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senpy/emotion-wnaffect/wnaffect.py

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# coding: utf-8
# In[1]:
# -*- coding: utf-8 -*-
"""
Clement Michard (c) 2015
"""
import os
import sys
import nltk
from emotion import Emotion
from nltk.corpus import WordNetCorpusReader
import xml.etree.ElementTree as ET
class WNAffect:
2018-06-14 17:38:08 +00:00
"""WordNet-Affect resource."""
nltk_resources = ['averaged_perceptron_tagger']
def __init__(self, wordnet16_dir, wn_domains_dir):
"""Initializes the WordNet-Affect object."""
cwd = os.getcwd()
nltk.data.path.append(cwd)
wn16_path = "{0}/dict".format(wordnet16_dir)
self.wn16 = WordNetCorpusReader(os.path.abspath("{0}/{1}".format(cwd, wn16_path)), nltk.data.find(wn16_path))
self.flat_pos = {'NN':'NN', 'NNS':'NN', 'JJ':'JJ', 'JJR':'JJ', 'JJS':'JJ', 'RB':'RB', 'RBR':'RB', 'RBS':'RB', 'VB':'VB', 'VBD':'VB', 'VGB':'VB', 'VBN':'VB', 'VBP':'VB', 'VBZ':'VB'}
self.wn_pos = {'NN':self.wn16.NOUN, 'JJ':self.wn16.ADJ, 'VB':self.wn16.VERB, 'RB':self.wn16.ADV}
self._load_emotions(wn_domains_dir)
self.synsets = self._load_synsets(wn_domains_dir)
def _load_synsets(self, wn_domains_dir):
"""Returns a dictionary POS tag -> synset offset -> emotion (str -> int -> str)."""
tree = ET.parse("{0}/a-synsets.xml".format(wn_domains_dir))
root = tree.getroot()
pos_map = { "noun": "NN", "adj": "JJ", "verb": "VB", "adv": "RB" }
synsets = {}
for pos in ["noun", "adj", "verb", "adv"]:
tag = pos_map[pos]
synsets[tag] = {}
for elem in root.findall(".//{0}-syn-list//{0}-syn".format(pos, pos)):
offset = int(elem.get("id")[2:])
if not offset: continue
if elem.get("categ"):
synsets[tag][offset] = Emotion.emotions[elem.get("categ")] if elem.get("categ") in Emotion.emotions else None
elif elem.get("noun-id"):
synsets[tag][offset] = synsets[pos_map["noun"]][int(elem.get("noun-id")[2:])]
return synsets
def _load_emotions(self, wn_domains_dir):
"""Loads the hierarchy of emotions from the WordNet-Affect xml."""
tree = ET.parse("{0}/a-hierarchy.xml".format(wn_domains_dir))
root = tree.getroot()
for elem in root.findall("categ"):
name = elem.get("name")
if name == "root":
Emotion.emotions["root"] = Emotion("root")
else:
Emotion.emotions[name] = Emotion(name, elem.get("isa"))
def get_emotion(self, word, pos):
"""Returns the emotion of the word.
word -- the word (str)
pos -- part-of-speech (str)
"""
if pos in self.flat_pos:
pos = self.flat_pos[pos]
synsets = self.wn16.synsets(word, self.wn_pos[pos])
if synsets:
offset = synsets[0].offset()
if offset in self.synsets[pos]:
return self.synsets[pos][offset]
return None
if __name__ == "__main__":
wordnet16, wndomains32, word, pos = sys.argv[1:5]
wna = WNAffect(wordnet16, wndomains32)
print wna.get_emotion(word, pos)