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Sentiment analysis for Twitter's tweet (in Indonesia language) was built with 3 models to get a comparison in determining which model gives the best results for predicting a tweet to have a positive or negative meaning.
www.wiki.com
WikimediaDumpExtractor extracts pages from Wikimedia/Wikipedia database backup dumps.
The autocomplete system model for Indonesian was built using the perplexity score approach and n-grams count probability in determining the next word.
A wordlist created from the Wikimedia data dump of Odia-language Wikipedia, Wikisource and Wiktionary