HanLP is a comprehensive natural language processing toolkit for the Chinese language. It provides a wide range of functionalities to analyze and process Chinese text, making it an essential tool for developers and researchers in the field.
Key Features
- Tokenization: HanLP provides advanced tokenization capabilities to split text into words, sentences, and other linguistic components.
- Part-of-Speech Tagging: It accurately identifies the part of speech for each word in a sentence.
- Named Entity Recognition: HanLP can recognize and extract named entities from text, such as people, organizations, and locations.
- Dependency Parsing: It parses the grammatical structure of sentences, showing the relationships between words.
- Coreference Resolution: HanLP can resolve coreferences in text, identifying which words refer to the same entity.
- Sentiment Analysis: It can analyze the sentiment of text, determining whether it is positive, negative, or neutral.
Getting Started
To get started with HanLP, you can download the toolkit from the official HanLP GitHub page.
// Example of using HanLP in Java
import com.hankcs.hanlp.HanLP;
String text = "汉语言处理是一个很复杂的领域。";
System.out.println(HanLP.segment(text));
Useful Resources
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