NLTK: Sentiment Strength Detection in Bahasa Indonesia - Revision history

Onnowpurbo: /* Ubah Source Code */

2017-02-26T03:45:09Z

Ubah Source Code

← Older revision		Revision as of 03:45, 26 February 2017
Line 82:		Line 82:

	filename = open(infile,'r')		filename = open(infile,'r')
	fcontent=filename.~~read~~()		fcontent=filename.readlines()
	filename.close()		filename.close()

Line 93:		Line 93:

	main()		main()


	==Referensi==		==Referensi==

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

2017-02-25T03:59:04Z

Test Kalimat

← Older revision		Revision as of 03:59, 25 February 2017
Line 63:		Line 63:

	Hasilnya:		Hasilnya:

			film godzilla amat sangat menarik [3] sekali [score:-1,3][result: +positive]
			=====================
			[Positive:1] [Negative:0] [Neutral:0]

	==Ubah Source Code==		==Ubah Source Code==

2017-02-25T03:57:10Z

Test Kalimat

2017-02-25T03:46:12Z

Source Code Asli

← Older revision		Revision as of 03:46, 25 February 2017
Line 48:		Line 48:
	main()		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()

	==Ubah Source Code==		==Ubah Source Code==

2017-02-25T03:40:35Z

Ubah Source Code=

← Older revision		Revision as of 03:40, 25 February 2017
Line 27:		Line 27:


	=Ubah Source Code==		==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		import argparse

2017-02-25T03:36:22Z

← Older revision		Revision as of 03:36, 25 February 2017
Line 24:		Line 24:

	This is work in progress. Experimental for my Master Thesis		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()

2017-02-25T03:22:32Z

← Older revision	Revision as of 03:22, 25 February 2017
Line 1:	Line 1:
		==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

2017-02-09T11:47:49Z

Created page with " ==Referensi== * https://github.com/masdevid/SentiStrengthID"

New page

==Referensi==

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