{"categories":[{"label":"Python Modules","url":"https://skillfed.io/packages/category/software-development-libraries-python-modules/8"},{"label":"Linguistic","url":"https://skillfed.io/packages/category/text-processing-linguistic"}],"enrichment":{"capability":"Nagisa performs Japanese word segmentation and part-of-speech tagging using recurrent neural networks, outputting tokenized words with their grammatical tags.","skillfed_tags":["japanese-nlp","neural-networks","tokenization"],"use_cases":["Extract nouns, verbs, or other POS categories from Japanese documents for downstream NLP tasks","Tokenize Japanese text for search indexing, removing particles and auxiliary words via stopword filtering","Train a domain-specific word segmentation and tagging model on annotated Japanese corpora","Normalize and parse Japanese user input in chatbots or form processing pipelines","Analyze Japanese social media or news text to identify named entities or key terms by POS tag"],"what_it_does":"Nagisa is a Python module that tokenizes and tags Japanese text using neural networks trained on character- and word-level features. It splits Japanese sentences into words and assigns part-of-speech tags (noun, verb, particle, etc.) in a single pass, with output normalized to Unicode NFKC form.\n\nThe package is designed for ease of use: import, call tagging() on a string, and receive a result object with .words and .postags attributes. It supports filtering/extracting words by POS tag, adding custom dictionaries, and includes a built-in Japanese stopwords list. Advanced users can train custom models on annotated datasets using the fit() method and load them with a custom Tagger instance.","worth_installing":"Yes, if you need Japanese NLP. Nagisa is actively maintained, has no known vulnerabilities, carries a permissive MIT license, and is in the top 5000 PyPI packages by download volume. The medium install friction (neural network dependencies) is a trade-off for having pre-trained models; if you work with Japanese text regularly, the convenience outweighs the setup cost. Not suitable if you need only English or other languages."},"id":"nagisa","links":{"html":"https://skillfed.io/packages/nagisa","md":"https://skillfed.io/packages/nagisa.md","pypi":"https://pypi.org/project/nagisa/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-07-06","license_spdx":null,"license_treatment":"permissive","name":"nagisa","python_support":"unspecified","summary":"A Japanese tokenizer based on recurrent neural networks"},"popularity":{"monthly_downloads":823562,"position":4967,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"0.3.0"}