Abstract: The amount of electronic data being produced and communicated online is rapidly increasing. Most of these electronic documents contain lot of important & interesting information in unstructured format. Various approaches are used in the literature to automate the process of event extraction so as to conserve time and effort. This paper proposes an algorithm to automate the task of information extraction. We demonstrate that machine learning can be used for extracting event from the unstructured text such as dates places and subject of interest.


Keywords: Automation, Machine Learning, Unstructured Text, Information Extraction, Natural Language.