stocksight
NLTK
| stocksight | NLTK | |
|---|---|---|
| 2 | 64 | |
| 1,994 | 13,035 | |
| - | 0.8% | |
| 0.0 | 8.1 | |
| 5 months ago | 13 days ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
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stocksight
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Künstliche Intelligenz zum traden
Hier nochmal das Stock Sight Repository: https://github.com/shirosaidev/stocksight
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I wrote a trading algo that buys BTC every time Peter Schiff Tweets
Here is a starting place for anyone that wants to build such a thing https://github.com/shirosaidev/stocksight
NLTK
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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.
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[CROSS-POST] What programming language should I learn for corpus linguistics?
In that case, you should definitely have a look at Python's nltk library which stands for Natural Language Toolkit. They have a rich corpus collection for all kinds of specialized things like grammars, taggers, chunkers, etc.
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Transition to ml, starting with LLM
If not, start with Python's Natural Language Toolkit.
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Learning resources for NLP
Try https://www.nltk.org it runs you through the basics. The book is here
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Which programming language should I learn for NLP and computational linguistics?
In terms of programming languages, Python is a great first programming language. the learnpython subreddit has lots of good recommendations for resources to get started. Once you're comfortable with the language, NLTK would be a good place to start, and the docs have heaps of examples. Check it out https://www.nltk.org/
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Python for stock analysis?
The most popular library to do this is NLTK though I believe you can use some of the popular AI API services today as well. Bloomberg launched one.
What are some alternatives?
freqtrade - Free, open source crypto trading bot
spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python
etf4u - 📊 Python tool to scrape real-time information about ETFs from the web and mixing them together by proportionally distributing their assets allocation
TextBlob - Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.
WordDumb - A calibre plugin that generates Kindle Word Wise and X-Ray files for KFX, AZW3, MOBI and EPUB eBook.
bert - TensorFlow code and pre-trained models for BERT
trendet - :chart_with_upwards_trend: Python package for trend detection on stock time series data :chart_with_downwards_trend:
Stanza - Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
nepse-api - NEPSE API wrapper fetches the data from Nepali Stock Site and provides them in a pythonic and usable way.
polyglot - Multilingual text (NLP) processing toolkit
twitter-stock-sentiment - Use twitter to get live and trending stock sentiment!
PyTorch-NLP - Basic Utilities for PyTorch Natural Language Processing (NLP)