Open AccessFolk Song Computer Big Data Classification and Analysis Research Based on National Style Characteristics
Author(s) -
Yang Jin
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1744/3/032117
Subject(s) - ethnic group , style (visual arts) , china , object (grammar) , folk song , class (philosophy) , charm (quantum number) , ethnic culture , history , sociology , literature , anthropology , computer science , artificial intelligence , art , physics , archaeology , quantum mechanics
China is a multi-ethnic country. Fifty-six nationalities have fifty-six flowers and fifty-six brothers and sisters come together to make a home. Among the ethnic minorities, there are a lot of traditional cultures with ethnic styles, including ethnic songs, which have the unique charm and flavor of ethnic minorities. The classification of the folk song is also an important link in research of folk songs, logically, divide a thing as an object, this thing can be known as the mother, the other points out small class can be referred to as a child, the division of folk songs also follow this rule, it can be classified as a criterion of suitability, although these rules are common sense, but in classification are often easy to ignore people.