NLPIR Big Data Intelligence Platform Improves Semantic Recognition

　　The core of big data: data mining. We are inseparable from data mining from start to finish. The mining of big data is the process of discovering the valuable and potentially useful information and knowledge hidden in the massive, incomplete, noisy, fuzzy and random large database, and it is also a decision support process. It is mainly based on artificial intelligence, machine learning, pattern learning, statistics, etc. Through the highly automated analysis of big data, inductive reasoning can be made, and potential patterns can be mined from it, which can help enterprises, businesses, and users adjust market policies, reduce risks, face the market rationally, and make correct decisions. At present, in many fields, especially in commercial fields such as banking, telecommunications, e-commerce, etc., data mining can solve many problems, including marketing strategy formulation, background analysis, enterprise management crisis, etc. Common methods of big data mining include classification, regression analysis, clustering, association rules, neural network methods, and Web data mining. These methods mine data from different perspectives.
　　The NLPIR Big Data Semantic Intelligent Analysis Platform integrates the research results of precise network acquisition, natural language understanding, text mining and semantic search in response to the comprehensive needs of big data content acquisition, editing, mining and search. It has served 400,000 institutional users around the world for 18 years. , which is a powerful tool for semantic intelligent analysis in the era of big data.
　　The NLPIR big data semantic intelligent mining platform integrates the technologies of precise network acquisition, natural language understanding, text mining and network search for the needs of big data content processing, and provides client tools, cloud services, and secondary development interfaces.
　　NLPIR can meet the needs of users for processing big data texts in all directions, including the complete technical chain of big data: web crawling, text extraction, Chinese and English word segmentation, part-of-speech tagging, entity extraction, word frequency statistics, keyword extraction, semantics Information extraction, text classification, sentiment analysis, semantic depth extension, traditional and simplified coding conversion, automatic phonetic transcription, text clustering, etc.
　　Data mining technology is a new network technology in recent years, but its wide application is loved by many companies and researchers. Over the years, with the passage of time and the continuous development of network technology, big data mining technology has been continuously updated and developed, and has been widely used in finance, management, teaching and other industries. I believe that with the continuous development of network technology, the application of big data mining technology will become wider and wider.
　　You can be a university teacher and student for the processing of various texts such as reports and papers;
　　you can be a professional computer and data analysis expert for the research and development of technology and projects;
　　you can be an editor, a self-media person, with For content mining, moderation and automatic generation.
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　　Of course, the big data semantic intelligent mining platform can do more!
　　Our goal: to understand natural language, mine data value, and intelligently serve life!