ASSIE: Application of Squirrel Search Algorithm for Information Extraction Problem

Abstract

Currently, within the recent era of huge data, a large volume of unstructured data is being produced in various sorts of audio, video, images, text, and animation. The effective use of those unstructured big data could be a laborious and tedious task. Because of this information overload problem, we face lots of difficulties to extract vital information. For this problem, there's an answer like Information Extraction (IE). IE systems help to extract useful information and structured data from this huge sort of unstructured or semi-structured machine-readable documents and other electronically represented sources. In this study, to extract useful information, a biological-inspired optimization algorithm Squirrel Search Algorithm (SSA) is implemented. The model is validated over traditional benchmark Document Understanding Conferences (DUC) dataset. The result of proposed model is compare with respect to few online line summarizers.