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Modeling Emotional Patterns and Singing Styles of Ancient Poetry in Vocal Art Songs Based on Text Mining

Dan Shen

Dan Shen

Harbin UniversityHarbin, China
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Shen, Dan
  
24 mar 2025
Modeling Emotional Patterns and Singing Styles of Ancient Poetry in Vocal Art Songs Based on Text Mining's Cover Image
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Data publikacji: 24 mar 2025
Otrzymano: 01 lis 2024
Przyjęty: 14 lut 2025
DOI: https://doi.org/10.2478/amns-2025-0710
Słowa kluczowe
© 2025 Dan Shen, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Figure 1.

Lyrics to the text-mining process
Lyrics to the text-mining process

Figure 2.

The framework of the BERT-SLAF model
The framework of the BERT-SLAF model

Figure 3.

Semantic map
Semantic map

Figure 4.

Four types of variety of characteristics radar
Four types of variety of characteristics radar

Figure 5.

Bar chart of Tang poetry genre
Bar chart of Tang poetry genre

Figure 6.

Bar chart of Song Ci genre
Bar chart of Song Ci genre

Figure 7.

The tone line diagram of Tang and Song poems
The tone line diagram of Tang and Song poems

The classification of the semantic terms of poetry

First class Second class Tertiary
Natural landscape Waterscape Flower creek
Lake Jiang han
Landscape Heshan, Xi shan, Yunshan
River bank Jinjiang, Jiang bian, Chun jiang, all-round, jiang han
Celestial species Spring, Cloud, White Cloud, Sun moon, today
Meteorological class Air, air, cold, white dew, cloud fog
Fauna Nothing
Plants Mountain forest
Humanistic landscape Building class Brocade,Jiang han, Du fu grass hall
Road class Road
Facilities Dry, embroidered, high marks
Traffic Boat boat
Acoustic light The moon and the moon
Characters General, Emissary, Tianzi, Ancients, Gitations
Placid Ba shan, Wu hou, Du fu grass hall
Subjective emotion Words Prosperous, Yo-Yo, Air month, Entertainment, Hometown, The imperial Chinese, Bright moon

The top 75 high frequency word entry is the center of the poem

Ranking High frequency word Word frequency Ranking High frequency word Word frequency Ranking High frequency word Word frequency
1 Wanli 30 26 Air smoke 9 51 Southern song 8
2 White cloud 20 27 Green day 9 52 Tize 8
3 Chengdu 17 28 Jade base 9 53 Spring wind 8
4 Old man 15 29 Spring color 9 54 White horse 8
5 Dust dust 14 30 Centenary 9 55 Land tour 8
6 The world 12 31 Commentary 9 56 Today 8
7 General 12 32 Jiang han 8 57 Look at 7
8 Where 12 33 Bright moon 8 58 meet 7
9 Yo-Yo 11 34 Cui wei 8 59 Universally 7
10 Plain life 11 35 jiandynasty 8 60 Day 7
11 Luoyang 11 36 Aancients 8 61 Extremes 7
12 Brocade 11 37 Jianghai 8 62 Landing 7
13 When 11 38 The three gorges 8 63 Cockle 7
14 Yamaguchi 10 39 Ruzi 8 64 Works 7
15 Cloud 10 40 Hometown 8 65 Tianya 7
16 Loneliness 10 41 World 8 66 Entertain 7
17 Court 10 42 Flock 8 67 World 7
18 Today 9 43 Nine days 8 68 Chiang jiang 7
19 Out of sight 9 44 Minshan 8 69 Since then 7
20 Jincheng 9 45 Trail 8 70 Long song 7
21 Rain and rain 9 46 Guan shan 8 71 Old man 7
22 Emei 9 47 Aspect 8 72 Cloud fog 7
23 River side 9 48 White crane 8 73 Grass hall 7
24 Road 9 49 Air current 8 74 Return 7
25 Xishan 9 50 Sun moon 8 75 Jiangshan 7
Język:
Angielski
Częstotliwość wydawania:
1 razy w roku
Dziedziny czasopisma:
Nauki biologiczne, Nauki biologiczne, inne, Matematyka, Matematyka stosowana, Matematyka ogólna, Fizyka, Fizyka, inne
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