What is the purpose of the Python jieba library?

Jieba library is used for segmenting Chinese text into words, enabling the ability to split Chinese text according to individual words. Its main functions include:

1. Chinese word segmentation: The jieba library can be used to divide Chinese text into individual words, making it easier to carry out subsequent text processing and analysis.
2. Keyword extraction: The jieba library offers a function for extracting keywords, which can automatically extract important keywords from the text to facilitate tasks such as text summarization and information retrieval.
3. Part of speech tagging: The jieba library can label the part of speech for each word in Chinese text, such as nouns, verbs, adjectives, and so on. This is very useful for natural language processing tasks like sentiment analysis, syntax analysis, and more.
4. User-defined dictionary: Jieba library can load user-defined dictionaries to better handle text segmentation tasks in specific fields.

By utilizing the above features, the jieba library can assist developers in analyzing, processing, and mining Chinese text, making it one of the significant tools for Chinese natural language processing.