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Product Overview

Utilizing big data, artificial intelligence and other technologies, the Intelligent Omni-media Service System by PERCENT, namely DeepEditor, could automatically access and combine multi-source heterogeneous data resources of media. The system could realize automated data processing, intelligent data scheduling and full lifecycle management through its multi-level data process model. DeepEditor contains several services, such as omni-media intelligent asset service management, intelligent special subject library, communication influence analysis, omni-media intelligent user insight service etc. As an intelligent system, DeepEditor is based on big data and artificial intelligence technologies, and it could realize intelligent media content processing of “planning, collection and edition”, communication optimization, full-perspective user tracking and insight, as well as high-speed response.


Product Functions

Omni-media Intelligent Assets Service Management

The system provides full lifecycle management of big data assets for media enterprises through automated access to omni-media business data and third-party resources data. In addition, DeepEditor could conduct full-process, multi-channel and multi-dimensional analysis on data assets, and assist enterprises keep track of data assets status in real time, while providing intelligent recommendation, intelligent searching, data subscription and other services.

Intelligent Special Subject library

Through intelligent mining and association of massive news events, the event special subject, people special subject and customized special subject could be generated automatically. DeepEditor could help users identify potential news clues through multi-dimensional analysis such as event relations, hotspot key words, hotspot development, hotspot channel and related people for the special subject events. Besides, the system could also provide intelligence support for users regarding subject selection decision-making and content generation.


Communication Influence Analysis

Utilizing big data technology, DeepEditor could empower media users to realize communication influence analysis and mining. The system could also generate communication influence data model and index system for hotspot news. What’s more, the system could perform communication tracking, regional analysis, and fans analysis etc. on hotspot news. It provides media enterprises with big data communication influence analysis method for their news production practice.


Omni-media Intelligent User Insight and Analysis

With DeepEditor system, omni-bearing and intensive insight into internal and external users of media ecosystem is made possible. The system could generate macroscopic, microscopical and multi-dimensional media user portrait through all-touchpoint integration and combination of user data, enabling media enterprises to conduct value analysis, preference analysis, characteristics analysis, and tendentiousness analysis on internal and external users. By intensively digging into user’s requirement, the system could achieve precision content pushing, optimize intelligent services, improve user experience, and perform intelligent management of users’ full lifecycle.


Product Functions

Omni-media Intelligent Assets Service Management

The system provides full lifecycle management of big data assets for media enterprises through automated access to omni-media business data and third-party resources data. In addition, DeepEditor could conduct full-process, multi-channel and multi-dimensional analysis on data assets, and assist enterprises keep track of data assets status in real time, while providing intelligent recommendation, intelligent searching, data subscription and other services.

Intelligent Special Subject library

Through intelligent mining and association of massive news events, the event special subject, people special subject and customized special subject could be generated automatically. DeepEditor could help users identify potential news clues through multi-dimensional analysis such as event relations, hotspot key words, hotspot development, hotspot channel and related people for the special subject events. Besides, the system could also provide intelligence support for users regarding subject selection decision-making and content generation.


Communication Influence Analysis

Utilizing big data technology, DeepEditor could empower media users to realize communication influence analysis and mining. The system could also generate communication influence data model and index system for hotspot news. What’s more, the system could perform communication tracking, regional analysis, and fans analysis etc. on hotspot news. It provides media enterprises with big data communication influence analysis method for their news production practice.


Omni-media Intelligent User Insight and Analysis

With DeepEditor system, omni-bearing and intensive insight into internal and external users of media ecosystem is made possible. The system could generate macroscopic, microscopical and multi-dimensional media user portrait through all-touchpoint integration and combination of user data, enabling media enterprises to conduct value analysis, preference analysis, characteristics analysis, and tendentiousness analysis on internal and external users. By intensively digging into user’s requirement, the system could achieve precision content pushing, optimize intelligent services, improve user experience, and perform intelligent management of users’ full lifecycle.


Product Functions

Omni-media Intelligent Assets Service Management

The system provides full lifecycle management of big data assets for media enterprises through automated access to omni-media business data and third-party resources data. In addition, DeepEditor could conduct full-process, multi-channel and multi-dimensional analysis on data assets, and assist enterprises keep track of data assets status in real time, while providing intelligent recommendation, intelligent searching, data subscription and other services.

Intelligent Special Subject library

Through intelligent mining and association of massive news events, the event special subject, people special subject and customized special subject could be generated automatically. DeepEditor could help users identify potential news clues through multi-dimensional analysis such as event relations, hotspot key words, hotspot development, hotspot channel and related people for the special subject events. Besides, the system could also provide intelligence support for users regarding subject selection decision-making and content generation.


Communication Influence Analysis

Utilizing big data technology, DeepEditor could empower media users to realize communication influence analysis and mining. The system could also generate communication influence data model and index system for hotspot news. What’s more, the system could perform communication tracking, regional analysis, and fans analysis etc. on hotspot news. It provides media enterprises with big data communication influence analysis method for their news production practice.


Omni-media Intelligent User Insight and Analysis

With DeepEditor system, omni-bearing and intensive insight into internal and external users of media ecosystem is made possible. The system could generate macroscopic, microscopical and multi-dimensional media user portrait through all-touchpoint integration and combination of user data, enabling media enterprises to conduct value analysis, preference analysis, characteristics analysis, and tendentiousness analysis on internal and external users. By intensively digging into user’s requirement, the system could achieve precision content pushing, optimize intelligent services, improve user experience, and perform intelligent management of users’ full lifecycle.


Product Advantages

Visual Big Data Management Platform

The system could provide users with the capabilities for automatic data gathering and integration. Through an intelligent scheduling of component module, DeepEditor could realize the generation, maintenance and monitoring of work flow as well as the integration of massive data, including structured data, semi-structured data and non-structured data. 

Efficient Big Data Processing

The system’s task scheduling engine features a multi-thread design. Based on the actual business processing procedure and overall resources status, DeepEditor could control the thread count. In addition, the system takes advantage of multiple-threads parallel processing to avoid overcome the shortcoming of processing unit in the whole processing flow so that the processing efficiency of the whole process can be guaranteed.


Intelligent Special Subject Recognition

Based on artificial intelligence technology, natural language processing technology, machine learning technology,deep learning technology and knowledge graph technology, DeepEditor realizes automatic recognition and association of news events special subject. Compared to manual recognition, the system improves recognition efficiency significantly.

Intelligent Communication Analysis

DeepEditor conducts multi-dimensional insight and analysis of news communication data. The system takes advantage of PERCENT’s exclusive communication influence value evaluation model to identify the source of communication and communication path, capture communication details and analyze the communication effect. Featuring professional analysis capability, the system could provide intelligent analysis and decision-making support for media to improve their brand influence. With DeepEditor, “communication digitalization and influence visualization” are rendered possible.


Intelligent Operation Analysis

Based on model and algorithm, DeepEditor could generate holographic user portrait, intensively explore into user value, perform precise pushing for communication contents, enhance user intelligent service and improve user experience.


Visual Big Data Management Platform

The system could provide users with the capabilities for automatic data gathering and integration. Through an intelligent scheduling of component module, DeepEditor could realize the generation, maintenance and monitoring of work flow as well as the integration of massive data, including structured data, semi-structured data and non-structured data. 

Efficient Big Data Processing

The system’s task scheduling engine features a multi-thread design. Based on the actual business processing procedure and overall resources status, DeepEditor could control the thread count. In addition, the system takes advantage of multiple-threads parallel processing to avoid overcome the shortcoming of processing unit in the whole processing flow so that the processing efficiency of the whole process can be guaranteed.


Intelligent Special Subject Recognition

Based on artificial intelligence technology, natural language processing technology, machine learning technology,deep learning technology and knowledge graph technology, DeepEditor realizes automatic recognition and association of news events special subject. Compared to manual recognition, the system improves recognition efficiency significantly.

Intelligent Communication Analysis

DeepEditor conducts multi-dimensional insight and analysis of news communication data. The system takes advantage of PERCENT’s exclusive communication influence value evaluation model to identify the source of communication and communication path, capture communication details and analyze the communication effect. Featuring professional analysis capability, the system could provide intelligent analysis and decision-making support for media to improve their brand influence. With DeepEditor, “communication digitalization and influence visualization” are rendered possible.


Intelligent Operation Analysis

Based on model and algorithm, DeepEditor could generate holographic user portrait, intensively explore into user value, perform precise pushing for communication contents, enhance user intelligent service and improve user experience.


Visual Big Data Management Platform

The system could provide users with the capabilities for automatic data gathering and integration. Through an intelligent scheduling of component module, DeepEditor could realize the generation, maintenance and monitoring of work flow as well as the integration of massive data, including structured data, semi-structured data and non-structured data. 

Efficient Big Data Processing

The system’s task scheduling engine features a multi-thread design. Based on the actual business processing procedure and overall resources status, DeepEditor could control the thread count. In addition, the system takes advantage of multiple-threads parallel processing to avoid overcome the shortcoming of processing unit in the whole processing flow so that the processing efficiency of the whole process can be guaranteed.


Intelligent Special Subject Recognition

Based on artificial intelligence technology, natural language processing technology, machine learning technology,deep learning technology and knowledge graph technology, DeepEditor realizes automatic recognition and association of news events special subject. Compared to manual recognition, the system improves recognition efficiency significantly.

Intelligent Communication Analysis

DeepEditor conducts multi-dimensional insight and analysis of news communication data. The system takes advantage of PERCENT’s exclusive communication influence value evaluation model to identify the source of communication and communication path, capture communication details and analyze the communication effect. Featuring professional analysis capability, the system could provide intelligent analysis and decision-making support for media to improve their brand influence. With DeepEditor, “communication digitalization and influence visualization” are rendered possible.


Intelligent Operation Analysis

Based on model and algorithm, DeepEditor could generate holographic user portrait, intensively explore into user value, perform precise pushing for communication contents, enhance user intelligent service and improve user experience.


Application Scenario

DeepEditor could gather and manage different data resource, including copywriting material data resources, internal manuscript data, product resource data, operation data, user behavior data, online resource, third-party data and other data resources distributed at each step of collecting and editing as well as at all departments. The system is designed to provide omni-media asset gathering capability for media enterprises based on their characteristics.

The system helps media organizations to keep track of data assets status in a real time manner, enabling full lifecycle monitoring and management at operation links including collection, edition and distribution of manuscript, submitting manuscript and production control and scheduling etc.

By providing basic data analysis service to internal users and external users, DeepEditor could provide omni-media intelligent service management, and satisfy needs of media enterprises for different data services.


In face of massive media news event data, media enterprises are required to spot potentially valuable data. While the system could provide media enterprises with data support for clue selection, event analysis, hotspot recognition, collecting news material and so on.

By collecting and analyzing resources on the Internet, the intelligent special subject library could automatically generate different special topics, enable intelligent mining and association of news events, present event special subject contents in full view, intelligently recognize hotspot news events, identify potential news clues, display the evolution of news event, and analyze the development of news event. DeepEditor could provide intelligent support service for media enterprises to facilitate their news subject selection planning and automatic special subject generation.


With the fast development of network information technology, network media is playing an increasing important role in news communication. With analysis on communication influence, the DeepEditor system could perform precise recognition and analysis of news communication channel, while providing data support for communication analysis of news events. By conducing analysis on the communication effect of news events, DeepEditor enables media users to optimize their news content to attract more audience and improve their brand attractiveness.


Traditionally, the generation and distribution of media contents was initiated by media, while recipients were passively fed with the content. Media practitioners in the modern era, however, are expected to change their service philosophy. They are required to be audience-oriented, to understand audience’s requirements, and promote the interaction with them, so as to establish a comprehensive media audience view.

DeepEditor features omni-media intelligent user insight. The system could establish multi-level and multi-dimensional analysis and insight icon through integration of internal & external media data as well as through analysis on user behavior. The system could also provide media enterprises with data supports including content generation, operation, products, marketing, promotion and other businesses, and support them in terms of business decisions making.


Multi-business System Data Gathering and Integration
News Clue Recognition

DeepEditor could gather and manage different data resource, including copywriting material data resources, internal manuscript data, product resource data, operation data, user behavior data, online resource, third-party data and other data resources distributed at each step of collecting and editing as well as at all departments. The system is designed to provide omni-media asset gathering capability for media enterprises based on their characteristics.

The system helps media organizations to keep track of data assets status in a real time manner, enabling full lifecycle monitoring and management at operation links including collection, edition and distribution of manuscript, submitting manuscript and production control and scheduling etc.

By providing basic data analysis service to internal users and external users, DeepEditor could provide omni-media intelligent service management, and satisfy needs of media enterprises for different data services.


In face of massive media news event data, media enterprises are required to spot potentially valuable data. While the system could provide media enterprises with data support for clue selection, event analysis, hotspot recognition, collecting news material and so on.

By collecting and analyzing resources on the Internet, the intelligent special subject library could automatically generate different special topics, enable intelligent mining and association of news events, present event special subject contents in full view, intelligently recognize hotspot news events, identify potential news clues, display the evolution of news event, and analyze the development of news event. DeepEditor could provide intelligent support service for media enterprises to facilitate their news subject selection planning and automatic special subject generation.


Communication Effect Evaluation
User Operation Analysis

With the fast development of network information technology, network media is playing an increasing important role in news communication. With analysis on communication influence, the DeepEditor system could perform precise recognition and analysis of news communication channel, while providing data support for communication analysis of news events. By conducing analysis on the communication effect of news events, DeepEditor enables media users to optimize their news content to attract more audience and improve their brand attractiveness.


Traditionally, the generation and distribution of media contents was initiated by media, while recipients were passively fed with the content. Media practitioners in the modern era, however, are expected to change their service philosophy. They are required to be audience-oriented, to understand audience’s requirements, and promote the interaction with them, so as to establish a comprehensive media audience view.

DeepEditor features omni-media intelligent user insight. The system could establish multi-level and multi-dimensional analysis and insight icon through integration of internal & external media data as well as through analysis on user behavior. The system could also provide media enterprises with data supports including content generation, operation, products, marketing, promotion and other businesses, and support them in terms of business decisions making.


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