Sentiment Analysis, also known as opinion mining, is the process of computationally identifying and categorizing opinions expressed in text to determine the sentiment conveyed. It classifies text as positive, negative, or neutral based on the underlying sentiment.
- Glossary > Letter: S
What does "Sentiment Analysis" mean?
Use Cases
Social Media Monitoring:
Analyzing public opinions and sentiments about products or brands.
Customer Feedback:
Identifying customer sentiments from reviews and comments.
Market Research:
Analyzing sentiments to gauge public opinion and trends.
Importance
Customer Insights:
Provides valuable insights into customer opinions and preferences.
Brand Reputation Management:
Monitors and manages public perception of brands and products.
Decision Support:
Helps businesses make informed decisions based on sentiment trends and analysis.
Analogies
Sentiment Analysis is like reading reviews of a movie to gauge audience reactions. Just as you assess whether reviews express positive, negative, or neutral opinions about the movie, sentiment analysis algorithms classify text to determine underlying sentiment.
Where can you find this term?
Ready to experience the full capabilities of the latest AI-driven solutions?
Contact us today to maximize your business’s potential!