VOCABULARY

Sentiment Analysis

Sentiment analysis is a natural language processing (NLP) technique used to determine the emotional tone behind words. It's often used to gauge public opinion, conduct nuanced market research, monitor brand and product reputation, and understand customer experiences.

How Sentiment Analysis Works

This technique involves analyzing text data to classify the sentiment as positive, negative, or neutral. For instance, sentiment analysis algorithms can scan social media posts to determine public sentiment about a new product launch. Advanced versions can also detect sarcasm, irony, and more subtle forms of sentiment.

Lakera LLM Security Playbook
Learn how to protect against the most common LLM vulnerabilities

Download this guide to delve into the most common LLM security risks and ways to mitigate them.

Related terms
Activate
untouchable mode.
Get started for free.

Lakera Guard protects your LLM applications from cybersecurity risks with a single line of code. Get started in minutes. Become stronger every day.

Join our Slack Community.

Several people are typing about AI/ML security. 
Come join us and 1000+ others in a chat that’s thoroughly SFW.