AI Dictionary
Sentiment Analysis
Definition
The use of natural language processing to identify and extract subjective information in source materials.
Deep Dive
Sentiment analysis, also known as opinion mining, is a specialized application of natural language processing (NLP) that aims to identify and extract subjective information from text, specifically determining the emotional tone and polarity of the content. This involves classifying whether the expressed sentiment in a piece of text—such as a review, social media post, or email—is positive, negative, or neutral. More advanced sentiment analysis can also detect specific emotions like joy, anger, sadness, or fear, and identify the intensity of these sentiments.
Examples & Use Cases
- 1Monitoring social media mentions of a product to gauge public perception and identify potential issues
- 2Analyzing customer reviews and feedback for common complaints or praises about a service
- 3Prioritizing customer support tickets based on the urgency indicated by the emotional tone of the email or chat message
Related Terms
Natural Language Processing (NLP)Text MiningOpinion Mining