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()
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()