Offers multiple language understanding algorithms tailored to different business scenarios.
Provides APIs related to semantic analysis, such as text classification, emotion analysis, viewpoint extraction, intent understanding, and slot filling, to deliver fast language understanding.
Stability and Reliability
Handles semantic uncertainties and allows you to add corpuses tailored for more scenarios.
Easy of Use
Provides easy-to-use APIs to deliver business development without the need of purchasing servers and supports cross-platform API calling.
Leverages sentiment analysis and viewpoint extraction technologies to extract information about sentiments and key viewpoints from a large number of user comments.
Uses various sentiment analysis algorithms to improve the ability of analyzing different comments.
Analyzes user comments from multiple domains to explore business values.
Accurately classifies a large number of files. Typical application scenarios include tag classification, content retrieval, personalized content recommendation, and more.
Labels for a file can be of the same level or hierarchical levels.
Allows you to customize text classification models based on your own datasets.
Understands your words to improve the accuracy of bot answers.
Identifies your intent from your words and extracts the key semantic information.
Allows you to continuously optimize the effect based on the feedback.
Analyzes the sentiments involved in a text to determine whether the text is positive or negative.
Analyzes user comments and extracts the viewpoints and their attributes.