NLPIR intelligence perfectly blends artificial intelligence with natural language processing

The development of data to today is no longer a new concept. The application of big data technology is also emerging. However, as a promising technology, many of its functions have yet to be explored, such as bringing convenience to people’s lives. Enterprises bring more benefits and so on. Today, the daily data generated on the Internet has evolved from the previous terabytes to today's PB, EB or even ZB. How does such explosive data use it, and how does it make it invaluable? This requires constant research and development to turn the daily “gravel” into “gold”. So how can we store a large amount of data and analyze it and use it? Big data technology came into being.

In the era of big data, data mining is the most critical task. Big data mining is a process of discovering valuable and potentially useful information and knowledge from large, incomplete, noisy, fuzzy, and random large databases. It is also a decision support process. It is mainly based on artificial intelligence, machine learning, pattern learning, statistics and so on. By highly automated analysis of big data, inductive reasoning, and mining potential models, companies, businesses, and users can adjust market policies, reduce risks, rationally face the market, and make correct decisions.

The concept of data management is constantly changing, and big data has become an inevitable choice for the development of information technology. With the continuous enrichment of modern information dissemination technology methods and methods, information acquisition, information transmission, information processing, information regeneration, information utilization and other functional applications are increasingly diversified, intelligent information systems gradually form an information network system, human society production methods, Working methods, learning methods, communication methods, lifestyles, and ways of thinking have undergone profound changes. Interactive, immediacy, and all-media have become the normative information ecological environment. The traditional database organization structure and information service model have been It is difficult to adapt to the real needs of the information society. The revolutionary reconstruction of the entire information technology architecture is imperative, and big data has become the only way for the development of information technology.

Lingbi Software NLPIR big data semantic intelligent analysis platform for the comprehensive needs of Chinese data mining, combined with the research results of network accurate collection, natural language understanding, text mining and semantic search, has served for 400,000 institutional users worldwide for 18 years. It is a great tool for semantic intelligence analysis in the great era.

The NLPIR Big Data Semantic Intelligent Analysis Platform platform integrates natural language understanding, web search and text mining technologies for the needs of Internet content processing, and provides a basic tool set for secondary development of technology.

NLPIR can meet the application requirements of big data texts in all aspects, including the complete technology chain of big data: network acquisition, text extraction, Chinese and English word segmentation, part-of-speech tagging, entity extraction, word frequency statistics, keyword extraction, semantic information. Extraction, text categorization, sentiment analysis, semantic depth expansion, simplification and transcoding, automatic phonetic transcription, text clustering, etc.

The essence of "big data" is actually the socialization of data production. Its impact on statistics, especially government statistics, is significant, not only related to the entire statistical process, but also to the current government statistical management system, institutional settings, data value, etc. The aspect has created a challenge. It can be boldly predicted that the government role of government statistics will be replaced by statistical professionalism in the future, and the functions of economic analysis will be replaced by more professional economic analysis departments. The importance of macro data will give way to more informative microdata.