Sentiment Analysis
01 Definition
Sentiment Analysis meaning: Using software to classify text as positive, negative, or neutral in tone.
Sentiment analysis uses natural language processing to read text such as comments or reviews and label the emotion or opinion behind it, usually positive, negative, or neutral. It helps summarize large volumes of feedback. Accuracy suffers with sarcasm, slang, and context, so treat scores as estimates.
Also called
Why it matters
How Sentiment Analysis fits the work
Sentiment analysis lets teams gauge how audiences feel at scale, turning thousands of scattered comments into a trend they can actually monitor and act on.
In context
Sentiment analysis of 2,000 launch comments flagged 68 percent positive, prompting the team to read the negative cluster more closely.
Practical note
Automated tools misread sarcasm, mixed emotions, emoji, and industry slang, and accuracy varies by language. Spot-check results by hand before making decisions on the scores.