View source for NLTK: Sentiment Strength Detection in Bahasa Indonesia

==SentiStrengthID==

Sentiment Strength Detection in Bahasa Indonesia. This is unsupervised version of SentiStrength (http://sentistrength.wlv.ac.uk/) in Bahasa Indonesia.
Core Feature:

* Sentiment Lookup
* Negation Word Lookup
* Booster Word Lookup
* Emoticon Lookup
* Idiom Lookup
* Question Word Lookup
* Slang Word Lookup
* Spelling Correction (optional) using Pater Norvig (http://norvig.com/spell-correct.html)
* Negative emotion ignored in question
* Exclamation marks count as +2
* Repeated Punctuation boosts sentiment

==Ignored Rule:==

    repeated letters more than 2 boosts sentiment score. This rule do not applied due to my own pre-processing rule which removing word's extra character
    score +2, -2 in word "miss". Do not apply in Bahasa Indonesia.

Warning!

This is work in progress. Experimental for my Master Thesis



==Source Code Asli==

 import pymongo, requests, json, urllib, re, collections
 from pymongo import MongoClient
 
 client = MongoClient('mongodb://localhost:27017/')
 #mongodb database and collection
 db = client.dataset_agnezmo
 dbPre = db.preprocessing
 
 def main():
     ss = sentiStrength()
     sc = spellCheck()
     tweets = dbPre.find().skip(0).limit(100)
     for t in tweets:
         print ss.main(t['text'])
     print "====================="        
     print ss.getSentimenScore()
     
 main()

==Test Kalimat==

 import requests, json, urllib, re, collections
 
 def main():
     ss = sentiStrength()
     sc = spellCheck()
     t = 'film godzilla amat sangat menarik sekali'
     print ss.main(t)
     print "====================="        
     print ss.getSentimenScore()
     
 main()

Hasilnya:

==Ubah Source Code==

 import argparse
 
 def parse_args():
     parser = argparse.ArgumentParser()
     parser.add_argument('-i', '--infile', default='', help='input filename')
     return parser.parse_args() 
 
 def main():
     args = parse_args()
     infile = args.infile
 
     filename = open(infile,'r')
     fcontent=filename.read()
     filename.close()
 
     ss = sentiStrength()
     sc = spellCheck()
     for t in fcontent:
         print ss.main(t)
     print "====================="        
     print ss.getSentimenScore()
     
 main()


==Referensi==

* https://github.com/masdevid/SentiStrengthID