SnowNLP: Chinese NLP in Python Guide
snownlp is a Chinese natural language processing (NLP) library based on Python, offering a range of text processing functionalities such as word segmentation, part-of-speech tagging, sentiment analysis, and text classification. It aids developers in efficiently handling and analyzing Chinese text.
More specifically, the functions of snownlp include:
- Word Segmentation: Snownlp can tokenize Chinese text, breaking down sentences into individual words or phrases for convenient text analysis and processing.
- Part of speech tagging: Snownlp can annotate the corresponding part of speech for each vocabulary (such as nouns, verbs, adjectives, etc.), which helps with part of speech analysis and semantic understanding.
- Sentiment analysis: Snownlp can determine the emotional orientation of Chinese text, distinguishing between positive, negative, and neutral sentiment, which is helpful for sentiment analysis and monitoring.
- Text classification: Snownlp can classify Chinese text into different categories or labels, thereby automating the text classification task.
- Keyword extraction: Snownlp can extract keywords from Chinese text, which are the words that best represent the main theme and content of the text, aiding in text summarization and information extraction.
Overall, snownlp provides developers with a range of functions for processing and analyzing Chinese text, which can be applied in various fields such as social media analysis, public opinion monitoring, and intelligent customer service.
