Crowdsourcing-based entity resolution system for news data
With the advent of the big data era,the processing and parsing of news data has become an important research field.In view of the characteristics of news entities such as fast updating speed,a crowdsourcing-based news data entity parsing sys-tem is proposed,aiming at realising efficient and accurate parsing of entities in news data through crowdsourcing mode and combin-ing with artificial intelligence technology.The article firstly introduces the relevant concepts of crowdsourcing and entity parsing,and then elaborates the implementation method and the architectural design of the system.The experimental results show that the system can effectively improve the accuracy and efficiency of entity resolution in news data.
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