Comparison Criteria: Efficiency, Accuracy, Strengths, and Weaknesses

Use the survey’s comparison framework to evaluate lexicon-based and machine learning techniques in terms of efficiency, accuracy, human effort, scalability to categories, noise sensitivity, and training cost.