Akademik Veri Yönetim Sistemi
3rd INTERNATIONAL AZERBAIJAN CONGRESS ON LIFE, ENGINEERING, AND APPLIED SCIENCES, Baku, Azerbaycan, 26 - 28 Kasım 2022, ss.126-133
In today’s world, it is not possible for a normal human brain to understand and interpret the rapidly growing data piles at the same time. The use of artificial intelligence techniques is a great requirement for the perception and interpretation of big data with the help of machines. One of the most popular sub-branches of artificial intelligence is natural language processing. The spoken language used by each country has its own characteristics. Natural language processing is a technique that analyzes the features of world languages and makes sentiment analysis. Natural language processing is the most important building block in the creation of language between humans and machines. In this way, it enables the textual data to be converted into the desired language in the digital environment, the logical answers to the questions asked, the synthesis and summary of digital texts, and the guidance of the machines with voice commands.
The natural language processing process begins by moving words, which are the smallest building blocks that make sense in the text, into the digital world. It brings the model to the creation process after preprocessing, rooting and feature extraction operations on the words transferred to the digital world. After these processes, a connection is established between machine language and human. With natural language processing technology, communication between human and machine can now be provided with only spoken language without the need for a port input. One of the most important steps for the science of artificial intelligence, which aims to transfer human characteristics to the machine, is the natural language processing technique. The natural language processing technique, which still has not reached the desired level in today’s technology, aims to be one of the important bridges between human and machine by providing its development at a great pace. In this direction, the conceptual structure of natural language processing is discussed in detail in this study.