What is Sentiment Analysis?
Using AI to determine whether a piece of text expresses positive, negative, or neutral feelings.
Why It Matters
Sentiment analysis helps businesses understand customer opinions at scale by automatically analysing reviews and feedback.
Real-World Example
Automatically categorising thousands of product reviews as positive, negative, or neutral.
“Understanding terms like Sentiment Analysis matters because it helps you have better conversations with developers and make smarter decisions about your software. You do not need to be technical. You just need to know enough to ask the right questions.”
Related Terms
Natural Language Processing (NLP)
The branch of AI focused on enabling computers to understand, interpret, and generate human language.
Text Classification
Using AI to automatically sort text into predefined categories.
Large Language Model (LLM)
An AI system trained on massive amounts of text that can understand and generate human language.
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Related Terms
Large Language Model (LLM)
An AI system trained on massive amounts of text that can understand and generate human language.
Natural Language Processing (NLP)
The branch of AI focused on enabling computers to understand, interpret, and generate human language.
Text Classification
Using AI to automatically sort text into predefined categories.
Transformer
A type of AI architecture that processes text by paying attention to relationships between all words at once, rather...
Attention Mechanism
A technique that lets AI models focus on the most relevant parts of the input when generating output.
Tokenisation
The process of breaking text into smaller pieces called tokens that an AI model can process.