Quotation Extraction from Indonesian Online News

One of the core news is the statement of the informants. The statement can be expressed in the form of a direct or indirect quotation. The quotation can be done by means of the extraction of quotation in the news texts. The quotation extraction process can be initiated through the introduction of quotation sentences followed by the introduction about the informants. The introduction of the indirect quotation sentence is done by using the machine learning approach with the Support Vector Machine algorithm, while the direct one is done using the regular expression approach. The process of informant introduction uses the Named Entity Recognition. The proposed quotation extraction process was able to result in the accuracy of 90,76%, precision of 91,22% and recall of 90,74%. The result of the quotation extraction process can be developed to analyze the news sentiments as the news as a media to deliver the information should have a neutral sentiment. The sentiment to the news can be analyzed from the statement by the informant.