How to use the jieba library in Python?

jieba is a commonly used Chinese word segmentation library that can be used to segment and extract keywords from Chinese text. Here are the basic usage methods of the jieba library:

1. Install the jieba library by using the pip command in the command line: pip install jieba.
2. Import the jieba library: To import the jieba library in a Python program, use the command “import jieba.”
3. Word segmentation:

1. Use the cut method from the jieba library for word segmentation. It takes a string as input and returns a generator object that can be looped through to obtain the segmented words. For example: result = jieba.cut(“I love natural language processing”).
2. 分词 using the lcut method from the jieba library. It takes a string as input and returns a list where each element is a segmented result. For example: result = jieba.lcut(“我爱自然语言处理”).

1. Keyword extraction:

1. Extract keywords using the extract_tags method from the jieba library. It takes a string as input and returns a list where each element is a keyword. For example: result = jieba.extract_tags(“I love natural language processing”).

1. Custom dictionary:

1. Load custom dictionary using the jieba.load_userdict method. The custom dictionary should be provided in the form of a text file, with each line containing a word and an optional weight separated by a space. For example: jieba.load_userdict(“userdict.txt”).

Please note that the default segmentation algorithm used by jieba library is based on the HMM model. If you need to use other segmentation algorithms, you can refer to the official documentation of the jieba library.