A Proposed Technique for Business Process Modeling Diagram Using Natural Language Processing

Business Process Modeling Notation (BPMN) offers a dynamic graphical language that simplifies the creation of business process diagrams for organizations. This standardized visual representation allows for effortless understanding, analysis, and optimization of processes. By integrating Natural Language Processing (NLP), an artificial intelligence branch that enables computers to comprehend and process human language, BPMN diagrams can now be generated from natural language descriptions of processes. Utilizing NLP to convert process descriptions into structured forms streamlines the creation and maintenance of BPMN diagrams, saving both time and effort. This fusion of BPMN and NLP results in a potent tool for analyzing and enhancing business processes. This paper introduces a BPMN diagramming method using NLP while addressing previous studies' shortcomings. The proposed technique manages natural language with multiple meanings by applying Probabilistic Latent Semantic Analysis (PLSA) in the pre-processing stage.