Library intelligence community to use the most common search language is ( ) is introduced as follows:

Library intelligence community to use the most common search language is natural language. Natural language is taken from the actual language of the literature information, no need to standardize, take the identification of words are taken directly from the intelligence information in its own words.

Natural language processing (NLP) is the ability of machines to understand and interpret the way humans write and speak.

The goal of NLP is to make computers/machines as intelligent as humans in understanding language. The ultimate goal is to bridge the gap between human communication (natural language) and computer understanding (machine language).

Natural Language Processing (NLP) is a sub-domain of artificial intelligence. Applications of Natural Language Processing include machine translation, sentiment analysis, intelligent Q&A, information extraction, language input, opinion analysis, knowledge mapping, etc. It is also a branch of deep learning.

There are two other major subsets under this concept, namely, Natural Language Understanding (NLU) and Natural Language Generation (NLG)

To paraphrase a Baidu image to show their relationship as follows

(1) At the bottom, there is the most basic Big Data, Machine Learning and Linguistics;

(2) Looking up, there is Knowledge Graph, which contains Entity Graph, Attention Graph and Intent Graph.

(3) One level up, on the left side is Language Understanding, and on the right side is Language Generation

-Language Understanding, which contains Query Understanding, Text Understanding, Sentiment Analysis (Sentiment Analysis), etc. Analysis (Sentiment Analysis), etc., and different levels of analysis such as Lexical, Syntax and Semantic.

--Language Generation, which encompasses writing, reading comprehension, and so on.

(4) At the top, the system level, which contains Q&A systems, machine translation and dialog systems.