Research Methodology on Natural Language Processing

Research method of natural language processing: The main purpose of this project is to study the integration of "natural language processing" and information system engineering in order to strengthen query search in natural language processing. Definition of research method: The definition of research method consists of the following two parts.

Computational linguistics and natural language community overlap computation Linguistics and natural language processing (NLP) methods are usually adequate. Computational linguistics and natural language processing make use of formal training in linguistics, computer science, and machine learning. With NLP, computers can understand, analyze, and derive meanings from the human language in an intelligent and convenient way. NLP experts organize and build knowledge to perform tasks such as translation, relationship extraction, automatic summary, sentiment analysis, text clustering and classification, named entity recognition, text segmentation and speech recognition .

NLP: Natural Language Processing is a field of artificial intelligence that allows computers to analyze and understand human languages. Natural language processing (NLP) was developed to build software that generates and understands natural languages ​​so that users can talk naturally with their computers. NLP combines artificial intelligence with computational linguistics and computer science to process human or natural languages ​​and languages. The OpenNLP sentence detector works by detecting whether punctuation at the end of a sentence is marked. The statement here is defined as the longest blank prun character sequence between the two punctuation marks. The first and last sentence is an exception to this rule. The first non - whitespace character is taken as the beginning of the sentence, and the last non - whitespace character is taken as the end of the sentence.