Generative AI & LLMs
Sentiment analysis
Using computers to estimate the attitude or feeling expressed in words.
Example
A system classifies customer comments as positive, negative or neutral.
Why people use it
It helps summarize the tone of large amounts of feedback.
What you'll hear
“Do these comments sound positive or negative?”
What this means for you
Review examples before using sentiment labels to judge people.
Can you control it?
Sometimes
Sometimes. Your choices depend on the tool and your access. The settings available to an everyday user may differ from those available to the people running it.
Common questions
- Can it recognize sarcasm reliably?
- Not always. The same words can express praise or criticism depending on the situation and speaker.
- Can one message express mixed feelings?
- Yes. Someone might praise the service while criticizing the price in the same message.
- Does a negative label explain what needs fixing?
- Not by itself. You still need to understand what the person was unhappy about.