Jieba
结巴中文分词 (by fxsjy)
spaCy
💫 Industrial-strength Natural Language Processing (NLP) in Python (by explosion)
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| Jieba | spaCy | |
|---|---|---|
| 6 | 106 | |
| 32,422 | 28,704 | |
| - | 1.3% | |
| 0.0 | 9.2 | |
| about 1 month ago | 8 days ago | |
| Python | Python | |
| MIT License | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Jieba
Posts with mentions or reviews of Jieba.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-06-14.
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[OC] How Many Chinese Characters You Need to Learn to Read Chinese!
jieba to do Chinese word segmentation
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Sentence parser for Mandarin?
Jieba: Chinese text segmenter
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How many in here use google sheets to keep track on their Chinese vocabulary? (2 pics) - More info in the comments
If you know some python you can use a popular library called Jieba 结巴 to automatically get pinyin for every word. (Jieba has actually been ported to many languages) You can also use it to break a chinese text into a set of unique words for easy addition to your spreadsheet.
- Where can I download a database of Chinese word classifications (noun, verb, etc)
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Learn vocabulary effortlessly while browsing the web [FR,EN,DE,PT,ES]
Since you're saying the main issue is segmentation, there are libraries to help out with that issue. jieba is fantastic if you have a Python backend, nodejieba (50k downloads/week) if it's more JS-side.
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I'm looking for a specific vocab list
https://github.com/fxsjy/jieba/ (has some good word frequency data)
spaCy
Posts with mentions or reviews of spaCy.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-12-06.
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Step by step guide to create customized chatbot by using spaCy (Python NLP library)
Hi Community, In this article, I will demonstrate below steps to create your own chatbot by using spaCy (spaCy is an open-source software library for advanced natural language processing, written in the programming languages Python and Cython):
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Best AI SEO Tools for NLP Content Optimization
SpaCy: An open-source library providing tools for advanced NLP tasks like tokenization, entity recognition, and part-of-speech tagging.
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Who has the best documentation you’ve seen or like in 2023
spaCy https://spacy.io/
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A beginner’s guide to sentiment analysis using OceanBase and spaCy
In this article, I'm going to walk through a sentiment analysis project from start to finish, using open-source Amazon product reviews. However, using the same approach, you can easily implement mass sentiment analysis on your own products. We'll explore an approach to sentiment analysis with one of the most popular Python NLP packages: spaCy.
- Retrieval Augmented Generation (RAG): How To Get AI Models Learn Your Data & Give You Answers
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Against LLM Maximalism
Spacy [0] is a state-of-art / easy-to-use NLP library from the pre-LLM era. This post is the Spacy founder's thoughts on how to integrate LLMs with the kind of problems that "traditional" NLP is used for right now. It's an advertisement for Prodigy [1], their paid tool for using LLMs to assist data labeling. That said, I think I largely agree with the premise, and it's worth reading the entire post.
The steps described in "LLM pragmatism" are basically what I see my data science friends doing — it's hard to justify the cost (money and latency) in using LLMs directly for all tasks, and even if you want to you'll need a baseline model to compare against, so why not use LLMs for dataset creation or augmentation in order to train a classic supervised model?
[0] https://spacy.io/
[1] https://prodi.gy/
- Swirl: An open-source search engine with LLMs and ChatGPT to provide all the answers you need 🌌
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How to predict this sequence?
spaCy
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What do you all think about (setq sentence-end-double-space nil)?
I chose spacy. Although it's not state of the art, it's very well established and stable.
- spaCy: Industrial-Strength Natural Language Processing
What are some alternatives?
When comparing Jieba and spaCy you can also consider the following projects:
SnowNLP - Python library for processing Chinese text
TextBlob - Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.
NLTK - NLTK Source
Stanza - Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
pkuseg-python - pkuseg多领域中文分词工具; The pkuseg toolkit for multi-domain Chinese word segmentation
BERT-NER - Pytorch-Named-Entity-Recognition-with-BERT
polyglot - Multilingual text (NLP) processing toolkit
textacy - NLP, before and after spaCy