Big data can analyze and mine a large amount of data and provide some useful information and trends, but it can't fully and accurately reflect a person's talent and achievements. In addition, even with the help of big data, we can't completely determine which poets are the best. Because the Excellence of poetry depends not only on the statistical results of data.
It is also related to personal aesthetics, cultural background and emotional experience. Therefore, it is impossible to determine the level of Li Bai's poems and songs only according to the ranking of big data. When appreciating poetry, we should respect everyone's creativity and uniqueness, don't pursue ranking and data excessively, but pay attention to the connotation and aesthetic feeling of poetry itself.
If we only talk about the poet's fame, Li Bai must be recognized as the first poet in the Tang Dynasty and even in the feudal history of China. Li Bai's life is legendary, and his poems are full of romanticism and ethereal immortality, so he is known as a poet.
There are 980 existing poems of Li Bai, which can be said that every capital will make people marvel at reading, but there are two representatives in Li Bai's numerous poems, which can definitely be regarded as the pinnacle of his various poems.
Advantages of big data analysis in poetry evaluation;
1. Quantitative analysis: Big data can quantitatively analyze various features of poetry, such as words, sentence patterns, images and emotions. So as to objectively and accurately evaluate the style, characteristics and quality of poetry.
2. Discovering the law: Big data can discover the laws and trends such as the change of poetry style and the development of schools through the analysis of a large number of poems, so as to better understand the evolution and development of poetry.
3. Personalized recommendation: By analyzing users' reading habits and preferences, big data can provide users with personalized poetry recommendation services to help users better discover and appreciate their own poems.
4. Interdisciplinary integration: Big data analysis can be combined with literature, psychology, philosophy and other disciplines to provide a broader vision and deeper understanding for poetry evaluation.