Reintegration of Big Data Technology for NLPIR Semantic Intelligence Platform

　　With the development of computer technology and more and more information data, how to extract valuable information for people from massive data has become a very urgent problem. From this, data mining technology is born, which is an emerging interdisciplinary subject that brings together research results from various fields such as machine learning, pattern recognition, databases, statistics, and artificial intelligence. Data mining is the advanced process of extracting credible, novel, valid and understandable patterns from large amounts of data. Its goal is to discover implicit, meaningful knowledge from the database.
　　Data mining is the non-trivial process of identifying valid, novel, potentially useful, and ultimately comprehensible knowledge from large, incomplete, noisy, fuzzy, and random datasets. This definition includes several meanings: the data source must be real, large, and noisy; what is discovered is knowledge that is of interest to users; the discovered knowledge must be acceptable, understandable, and applicable; it does not require that the discovery be universal Universal knowledge that supports only specific discovery problems.
　　Data mining can be simply understood as finding useful knowledge from data through the manipulation of environmental data. It is an interdisciplinary subject involving a wide range, including machine learning, mathematical statistics, neural networks, databases, pattern recognition, rough sets, fuzzy mathematics and other related technologies. In terms of specific applications, data mining is a process of using various analytical tools to discover models and relationships in massive data that can be used to make predictions.
　　Data mining is a technology based on the four pillars of database, artificial intelligence, mathematical statistics and visualization. We know that describing or explaining an algorithm design is divided into three parts: input, output and processing. The input of the data mining algorithm is the database, the output of the algorithm is the knowledge or pattern to be discovered, and the processing process of the algorithm is to design a specific search method.
　　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.
　　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.
　　With the continuous expansion of the application scope of data mining technology, almost every aspect of human society will be involved in data mining every year. Although data mining originally appeared as a technology, due to the unique concept of data mining itself, it provides people with a new idea and method to solve various problems. In this regard, data mining is equivalent to a This methodology will have a significant impact on human production and life in the future.
　　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!