Detecting the topics of text fragments
Efficiently categorize and route customer inquiries to the corresponding customer service consultant with topic detection. Topic detection scans a piece of text and determines the underlying topic, and then automatically assigns the text to a predefined category.
For example, when a customer writes My phone is not working, need help! in a chat window, topic detection analyzes and assigns the sentence to the category. Your application then connects the customer with the corresponding customer service consultant.
To learn more about the types of topic detection and how to create topic detection models, see the following articles:
- Comparing keyword-based and machine learning topic detection
- Creating keyword-based topic models
- Creating machine learning topic models
- Connecting to topic models in Cloud AutoML
- Connecting to topic models through an API
- Best practices for creating categorization models
- Requirements and best practices for creating a taxonomy for rule-based classification analysis
Previous topic Labeling text with categories Next topic Comparing keyword-based and machine learning topic detection