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

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