Sentiment Analysis

Sentiment analysis concepts and workflows - from text preprocessing and TF-IDF vectorization to classification, evaluation, and modern transformer-based approaches.

📄️ Sentiment Analysis - Foundations and Workflow

Sentiment analysis is a core task in Natural Language Processing (NLP) that enables machines to interpret subjective information at scale. Modern software can infer emotional tone from written language, powering features like customer feedback analysis, recommendation engines, and brand monitoring. Instead of simply matching keywords, these systems identify patterns that signal positive, neutral, or negative intent.