NLPIR semantic intelligence platform solves the problem of deep text mining

　　With the advent of reform and opening up, the rapid economic development and take-off, the rapid rise of information technology and the vigorous development of the financial industry, enterprises obtain a large amount of customer information from customer relationship management, but how to make good use of these precious strategic resources, and through these Resources to categorize, maintain and develop customers have become the key to determining the success of various industries in a highly competitive industry.
　　Data mining technology is a young and promising research field, and the strong driving force of commercial interests will continue to promote its development. Every year, new data mining methods and models come out, and people's research on it is becoming more and more extensive. in depth. It is not only a simple retrieval query call for a specific database, but also micro and macro statistics, analysis, synthesis and reasoning on these data to guide the solution of practical problems, try to find the correlation between events, and even use existing data. Data makes predictions about future activity.
　　The development goal of data mining technology is to be application-oriented. It is not only a simple call, query and retrieval for a specific database, but also to carry out macro, meso and even micro analysis, reasoning, statistics and synthesis of these data. The purpose of knowledge discovery here is not to ask us to discover the truth of everything, nor to discover new mathematical formulas or theorems of natural science. What we find is relative knowledge, domain-specific, and we need to make sure that the knowledge we find is easily understandable by users.
　　The NLPIR Big Data Semantic Intelligent Analysis Platform integrates the latest research results of network precise collection, 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 institutions around the world for 18 years. Users are 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. The development platform consists of multiple middleware, and each middleware API can be seamlessly integrated into various complex application systems of customers, compatible with different operating system platforms such as Windows, Linux, Android, Maemo5, FreeBSD, etc. It can be used for Java, C, C# and other development languages ​​are used.
　　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.
　　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!