PyTorch-NLP
NLTK


PyTorch-NLP | NLTK | |
---|---|---|
1 | 69 | |
2,180 | 13,857 | |
- | 0.9% | |
0.0 | 9.0 | |
over 1 year ago | 6 days ago | |
Python | Python | |
BSD 3-clause "New" or "Revised" License | Apache License 2.0 |
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PyTorch-NLP
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Introduction to PyTorch
PyTorch-NLP
NLTK
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Mastering the Art of Conversational AI: Insights and Implementations with Python
We can use NLTK, a powerful library for Python that provides easy-to-use interfaces to over 50 corpora and lexical resources.
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Create a Question/Answer Chatbot in Python
Using the NTLK Natural Language Toolkit
- NLTK version 3.8.2 is no longer available on PyPI
- Nltk version 3.8.2 is no longer available on PyPI
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350M Tokens Don't Lie: Love and Hate in Hacker News
Is this just using LLM to be cool? How does pure LLM with simple "In the scale between 0-10"" stack up against traditional, battle-tested sentiment analysis tools?
Gemini suggests NLTK and spaCy
https://www.nltk.org/
https://spacy.io/
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Building a local AI smart Home Assistant
alternatively, could we not simply split by common characters such as newlines and periods, to split it within sentences? it would be fragile with special handling required for numbers with decimal points and probably various other edge cases, though.
there are also Python libraries meant for natural language parsing[0] that could do that task for us. I even see examples on stack overflow[1] that simply split text into sentences.
[0]: https://www.nltk.org/
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Sorry if this is a dumb question but is the main idea behind LLMs to output text based on user input?
Check out https://www.nltk.org/ and work through it, it'll give you a foundational understanding of how all this works, but very basically it's just a fancy auto-complete.
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Best Portfolio Projects for Data Science
NLTK Documentation
- Where to start learning NLP ?
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Is there a programmatic way to check if two strings are paraphrased?
If this is True, then you need also Natural Language Toolkit to process the words.
What are some alternatives?
spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python
pytext - A natural language modeling framework based on PyTorch
TextBlob - Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.
PaddlePaddle - PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)
Stanza - Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
Jieba - 结巴中文分词
polyglot - Multilingual text (NLP) processing toolkit
IEPY - Information Extraction in Python
SnowNLP - Python library for processing Chinese text

