Rule based event extraction system from newswires and social media text in Indian languages (EventXtract-IL) for english and Hindi data

Abstract

Due to today’s information overload, the user is particularly finding it difficult to access the right information through the World Wide Web. The situation becomes worse when this information is in multiple languages. In this paper we present a model for information extraction. Our model mainly works on the concept of speech tagging and named entity recognization. We represent each word with the POS tag and the entity identified for that term. We assume that the event exists in the first line of the document. If we do not find it in the first line, then we take the help of emotion analysis. If it has negative polarity, then it is associated with an unexpected event which has negative meaning. We use NLTK for emotion analysis. © 2018 CEUR-WS. All Rights Reserved.