Sentiment classification for Indonesian message in social media

• Published in: Proceedings of the 2011 International Conference on Electrical Engineering and Informatics pp. 1 - 4
• Main Authors: Naradhipa, Aqsath Rasyid, Purwarianti, A.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.07.2011
• Subjects: Accuracy; Companies; Dictionaries; Educational institutions; Media; Noise measurement; Sentiment Classification; Social Media; Support vector machines; SVM; Transformation

Nowadays, social media has grown rapidly. This growth makes people enjoy sharing their activities in social media, including complains about products or services from companies. This behaviour is a big opportunity for a company to know sentiments of customer toward their company. However, classifyin...