Understanding Sentiment Analysis in Natural Language Processing
Getting Started with Sentiment Analysis using Python The analysis revealed that 60% of comments were positive, 30% were neutral, and 10% were negative. However, adding new rules may affect previous results, and the whole system can get very complex. Since rule-based systems often require fine-tuning and maintenance, they’ll also need regular investments. If Chewy wanted…