Professional content intelligent generation method based on AI writing
A professional and content technology, applied in the field of intelligent generation methods and systems, can solve the problem of not being able to generate automatically, and achieve the effect of strengthening the self-learning optimization function
Pending Publication Date: 2019-11-22
上海晏鼠计算机技术股份有限公司
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Problems solved by technology
[0002] At present, there are many system platforms for automatically generating charts, such as NetEase Youshu and Dyshu, which are relatively mature. These system platforms provide customers with interactive visual charts and simple digital fill-in-the-blank conclusions, such as an increase of 50%, but none of them can Automatically generate non-standard suggested text conclusions, such as demand-driven scale, market maturity, etc.
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specific Embodiment 2
[0017] Specific embodiment 2, in combination with embodiment 1, the system automatically obtains the processed data according to the disassembled business requirements and performs chart visualization analysis on it to generate specific quantitative data index results, such as the transaction scale and growth rate of a certain retail market, According to the user's business needs, the system retrieves and learns a large amount of report text conclusions on related topics, and uses the text deep learning algorithm of natural language processing to generate conclusions and suggestions to match and recommend to users. Users can directly perform selection confirmation or supplementary modification operations. The system is a The self-learning system better realizes the writing of Al conclusions. It is a continuous automatic training and tuning system. The user’s supplementary modification operations on the recommended content will be fed back to the system, and the system parameters...
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The invention relates to a professional content intelligent generation method based on AI writing. A chart data module and a content recommendation module are included. The chart data module performsdemand disassembly; a big data resource pool is used for data processing; chart data and a data index result are generated; the content recommendation module learns massive professional contents and amachine algorithm; recommended content is generated, a user directly selects recommended content, and the content is integrated with the chart data to generate the complete professional content; whenthe user does not directly adopt the recommended content, the user carries out manual supplement and modification, and the modified content is fed back to the content result library to serve as a parameter adjustment condition for machine learning in the next step and is integrated with the chart data to generate the complete professional content. The innovative function of the system is that thesystem can automatically learn and generate professional content, including data classes and text classes. Data and visual chart processing can be automatically carried out on the structured data part; for text professional content, intelligent writing recommendation is carried out on the basis of learning massive samples.
Description
technical field [0001] The invention relates to a method for intelligently generating professional content based on AI writing, and belongs to the technical field of intelligently generating methods and systems. Background technique [0002] At present, there are many system platforms for automatically generating charts, such as NetEase Youshu and Dyshu, which are relatively mature. These system platforms provide customers with interactive visual charts and simple digital fill-in-the-blank conclusions, such as an increase of 50%, but none of them can Automatically generate non-standard suggested text conclusions, such as demand-driven scale, market maturity, etc. Contents of the invention [0003] The technical problem to be solved by the present invention overcomes the existing defects, provides an intelligent generation method of professional content based on AI writing, and uses machine learning and big data processing technology to make the tedious business work of dat...
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IPC IPC(8): G06N20/00G06F17/27G06F16/34G06F16/35
CPCG06N20/00G06F16/345G06F16/355
Inventor 陈刚
Owner 上海晏鼠计算机技术股份有限公司