{"categories":[{"label":"Text Processing","url":"https://skillfed.io/packages/category/text-processing"},{"label":"Linguistic","url":"https://skillfed.io/packages/category/text-processing-linguistic"},{"label":"Indexing","url":"https://skillfed.io/packages/category/text-processing-indexing"}],"enrichment":{"capability":"Jieba segments Chinese text into words using multiple algorithms (precise, full, and search-engine modes) and supports both simplified and traditional Chinese with custom dictionary injection.","skillfed_tags":["chinese-nlp","text-segmentation"],"use_cases":["Tokenizing Chinese text for machine learning models that require word-level input features.","Building Chinese search engines or information retrieval systems using search-engine segmentation mode.","Preprocessing Chinese documents for NLP analysis, sentiment analysis, or text classification tasks.","Extracting keywords from Chinese text by combining segmentation with frequency analysis.","Processing domain-specific Chinese text by adding custom words to the dictionary."],"what_it_does":"Jieba is a Chinese text segmentation library that breaks Chinese sentences into individual words. It offers three segmentation modes: precise mode for accurate analysis, full mode for exhaustive word extraction, and search-engine mode for improved recall in retrieval tasks. The library supports both simplified and traditional Chinese, allows users to inject custom dictionaries, and has no external runtime dependencies.\n\nThe package is widely used in Chinese NLP pipelines but has been dormant since January 2020. While it maintains high GitHub visibility and download counts, the lack of recent maintenance means it may have compatibility issues with modern Python versions and may not reflect current Chinese language conventions or terminology.","worth_installing":"Yes, with conditions. Jieba remains the de facto standard for Chinese word segmentation in Python and has proven reliability for its core task. However, install it only if you are working with Chinese text and can verify compatibility with your Python version\u2014the package is dormant and may not work on very recent Python releases without testing. Check the GitHub repository for community forks or patches if you encounter issues."},"id":"jieba","links":{"html":"https://skillfed.io/packages/jieba","md":"https://skillfed.io/packages/jieba.md","pypi":"https://pypi.org/project/jieba/"},"maintenance":{"status":"dormant"},"meta":{"latest_release":"2020-01-20","license_spdx":null,"license_treatment":"permissive","name":"jieba","python_support":"unspecified","summary":"Chinese Words Segmentation Utilities"},"popularity":{"monthly_downloads":2395652,"position":3083,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"0.42.1"}