The Argumentative Sentence Detection Model Workflow flowchart outlines the process of identifying argumentative text within datasets. The workflow begins with data preprocessing, which includes normalization, POS tagging, and stemming. The processed data undergoes separation techniques and is enhanced with lexicon-based keywords for feature extraction. The extracted features are then passed through a classifier model to determine if a sentence is argumentative. If it is, another classifier model identifies specific argumentative components. This model workflow is pivotal for developing automated systems in argumentation mining and NLP applications.
