janome
spaCy
janome | spaCy | |
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2 | 107 | |
828 | 28,849 | |
- | 1.0% | |
5.2 | 9.2 | |
11 months ago | 13 days ago | |
Python | Python | |
Apache License 2.0 | MIT License |
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janome
- [discussion] Open AI api translations
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[Computer Stuff] What's the best way to split a Japanese sentence into "words"?
I did program stuff like that a bit in Korean and Japanese. So, in short, these tools/libraries are called 'Tokenizers'. I.e. search for "Japanese tokenizer", it will also tell you that MeCab is one of them. There is no good/easy way to split words in Japanese with simple algorithms, so these libraries, that are based on statistics or AI, will be your only choice. There is a good example sentence that shows how futile this would be without those libraries: "すもももももももものうち". From here.
spaCy
- How I discovered Named Entity Recognition while trying to remove gibberish from a string.
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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.
What are some alternatives?
kanji-data - A JSON kanji dataset with updated JLPT levels and WaniKani information
TextBlob - Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.
tika-python - Tika-Python is a Python binding to the Apache Tika™ REST services allowing Tika to be called natively in the Python community.
Stanza - Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
asian-comprehension-worksheet-generator - Create worksheet to learn Asian language (eg. Chinese) and practice reading and writing in grid format. Perfect tool for kid and beginner.
NLTK - NLTK Source
wakaranai - An educational tool for learning hiragana and katakana
BERT-NER - Pytorch-Named-Entity-Recognition-with-BERT
skweak - skweak: A software toolkit for weak supervision applied to NLP tasks
polyglot - Multilingual text (NLP) processing toolkit
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
textacy - NLP, before and after spaCy