Knowledge Extraction from Bangla Documents: A Case Study
Monika Gope, M.M.A. Hasehm · 2018
Numerous resolutions and agendas of abundant official meetings are composed in Bangla language. In this article, we have demonstrated a system that automatically discovers and extracts these decisions and agendas from the increasingly vast pool of official Bangla digital documents like Big Data and allow extraction, detection, and analysis of the documents. A set of different rule base approaches is used to recognize and extract the decisions of the resolutions of Bangla documents which are presented here. Then with different parameters, the results of the procedure are discussed, classified and analyzed where 86% accuracy is achieved for a sample Dataset to detect decisions in the documents.