Lingjiu Software: NLPIR text intelligent mining speed up 2.0

　　With the advent of a new wave of technology in China's Internet, big data has penetrated into all aspects of society from the cloud, and through dynamic analysis of data and insight and prediction, it plays an active role in providing authoritative basis for corporate decision-making. Big data has not only changed the Internet industry itself, but also triggered the reconstruction of Internet-related industrial chains. With the innovation and application of digital technology, the operation mode of the industry has also been quietly rewritten by big data.
　　Since the Internet entered the Web2.0 era, social media has become the mainstream of communication, focusing on content sharing and interaction. The content of communication has undergone changes in text, graphic, audio, short video, live broadcast, etc. The way of content-driven communication is becoming narrower, and 10W+ reading is no longer the only criterion for measuring the quality of the communication effect.
　　Thanks to the development of emerging technologies such as cloud computing and big data, the data behind the number of dissemination, such as input-output ratio, dissemination effect, etc., have become traceable. For example, effective clicks, forwarding rate, conversion rate, etc., through rapid diagnosis of communication effects, problems are found and dealt with in a timely manner; based on massive Internet data, the content of communication is analyzed and mined, and social hot spots, public relations events, etc. are tracked and analyzed, and the communication is accurately restored. Paths, outlining the communication network, etc., to form a fair and impartial communication effect evaluation standard based on data.
　　Data mining is an interdisciplinary subject that brings together different disciplines and fields such as database, artificial intelligence, statistics, visualization, and parallel computing. Data mining includes many steps: obtain data from large-scale databases (or from other sources); choose appropriate feature attributes; choose appropriate sampling strategies; eliminate abnormal data in the data and make up for insufficient parts; use appropriate dimensionality reduction , transformation to make the data mining process fit or match the data model; to distinguish whether the obtained knowledge is knowledge, it is necessary to informatize or visualize the obtained results, and then combine and compare with the existing knowledge. These steps are the surefire way to go from data to knowledge. Each step can be the key to success or the beginning of failure.
　　The NLPIR text search and mining system integrates the technologies of natural language understanding, network search and text mining for the needs of Internet content processing, and provides a basic toolset for secondary development of technologies. The development platform consists of multiple middleware, and each middleware API can be seamlessly integrated into various complex application systems of customers.
　　NLPIR text search and mining system fully integrates years of technical accumulation in natural language understanding, information retrieval, etc., and has three characteristics of intelligence, efficiency, and self-learning: 　　intelligence
　　is mainly reflected in the organic integration of expert heuristic knowledge and machine learning;
Under the condition of ensuring accuracy, the system can process 10MB of text data per second;
　　self-learning refers to automatically extracting new language knowledge through machine learning to adapt to new network language changes, so as to change with time.
　　Driven by the rapid development of the Internet, mobility and big data, people can not only see the rapid popularization of cloud computing, but also enjoy the changes and benefits that cloud computing brings to this era. Not only that, based on the combination of cloud computing, big data and artificial intelligence, big data mining can realize new business scenarios and new model innovation to a greater extent, and ultimately promote the continuous upgrading of social business ecology!