Standard 5 stops to get here
Sentiment Analysis
Determining the emotional tone or opinion expressed in text (positive, negative, neutral).
Your route here
5 stops · basics first
- Natural Language Processing ✓ understood
The field of AI that lets computers read, interpret, translate and generate human language, from spam filters and search to chatbots.
- Machine Learning ✓ understood
Building systems that learn patterns from data instead of following hand-written rules, getting better at a task as they see more examples.
- Supervised Learning ✓ understood
Learning from examples paired with the correct answer, so a model can predict answers for new inputs it hasn't seen.
- Classification ✓ understood
A supervised learning task where the model assigns each input to one of a fixed set of categories, such as spam or not spam.
- Text Classification ✓ understood
Assigning categories or labels to text documents, a fundamental NLP task.
- Sentiment Analysis · you are here ✓ understood
Where it sits
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Text Classification Sentiment Analysis
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Language & LLMs Intent Recognition Identifying the user's intention or goal from their utterance in dialogue systems. Shipping AI Content Moderation Using AI to automatically detect and filter inappropriate, harmful, or policy-violating content. Language & LLMs Natural Language Processing The field of AI that lets computers read, interpret, translate and generate human language, from spam filters and search to chatbots. Language & LLMs BERT Bidirectional Encoder Representations from Transformers - a model that understands context by looking at text from both directions.