Baidu Smart Cloud
Dialogue emotion recognition
Automatically detect the emotional characteristics contained in the text of users' daily conversations, to help enterprises more comprehensively grasp the product experience and monitor customer service quality
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Technical Documentation
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Function introduction
Function demonstration
Application scenarios
Technical features
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Support communication
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Function introduction
Refined emotion recognition of dialogue text
In the dialogue scenario, identify the user emotions behind the texts of both sides of the dialogue. The first level emotions can be divided into three types: positive, neutral, and negative. The positive emotions can be divided into three types: like, happy, and grateful; Negative emotions can be divided into five categories: complaint, anger, disgust, fear and sadness
Negative emotion reference reply script
For the negative emotions identified by the machine, give targeted reference reply scripts in combination with the context to help the application party pacify the negative emotions of customers at the first time
Function demonstration
Application scenarios
Customer service quality inspection and monitoring
Chatting robot
Task based dialogue
Customer service quality inspection and monitoring
Identify users' emotions in customer service consultation, and trigger manual customer service intervention if users' negative dissatisfaction is detected outside the automatic response system. In the manual customer service scenario, it can also be used to monitor the service attitude of customer service personnel
Cooperation cases
UNIT
Number of friends in Shanghai
Technical features
Focus on dialogue
Relying on Baidu's powerful dialogue system, in-depth analysis of the main emotional types and distribution of a variety of dialogue scenes can more accurately understand and identify the emotions in the dialogue
High overall accuracy
Based on big data and deep learning, it automatically learns word meaning and word order relations, has strong generalization ability, and has high emotion recognition accuracy
Good draping effect
In several categories (financial customer service, chat dialogue, navigation interaction), the recognition accuracy of negative emotions can reach more than 90%, which has been connected to UNIT
Product pricing
Free quota
Free quota is given, which is applicable to early research
Personal Account
Adjustment amount
500000 times/total
Concurrency
2QPS
Enterprise authentication account
Adjustment amount
500000 times/day
Concurrency
5QPS
Free use
Purchase by time
More times of purchase, applicable to stable access of enterprises
Adjustment amount
Free quota+over purchase
Concurrency
20QPS
Purchase by time
two point five
RMB/1000 times
Subscription payment
Project customization
Applicable to key customers who need customization
Enjoy exclusive price
More cooperation modes
Win win together
Cooperation consulting
Pricing Instructions
It supports online subscription of payment service, settlement by times, and times deduction by pre ordering times package. The larger the number of times, the lower the unit price. The number of times can be purchased by superposition. Each number of times is valid for one year
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Novice Guide
Find the AI technical ability suitable for your business, quickly create applications, and start a convenient development journey
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Technical Documentation
For developers using APIs or SDKs, provide Baidu natural language processing development documents
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common problem
How many dimensions does word vector represent? What is the limit of short text similarity on the number of characters?
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