Skill

Sentiment Analysis

Data Science, Analytics and AI/ML

Sentiment analysis is a natural language processing technique that automatically identifies and classifies the emotional tone (positive, negative, or neutral) expressed in text, such as reviews, social media posts, or customer feedback. It is used by data scientists, marketers, and businesses to gauge public opinion, monitor brand reputation, and analyze customer satisfaction at scale. Modern approaches rely on machine learning and transformer-based language models trained on labeled text data.

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• Machine Learning
• Natural Language Processing
• Text Mining
• Python
• BERT
• Brandwatch
• Meltwater
• Social Media Analytics
• Voice of the Customer Analysis