rake-nltk
stocksight
| rake-nltk | stocksight | |
|---|---|---|
| 4 | 2 | |
| 1,034 | 1,994 | |
| - | - | |
| 0.0 | 0.0 | |
| over 1 year ago | 5 months ago | |
| Python | Python | |
| MIT License | Apache License 2.0 |
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.
rake-nltk
- rake-nltk 1.0.6 released. Comes with the flexibility to choose your own sentence and word tokenizers.
-
PMI for WordClouds
I'm not sure what you mean by tokenizing phrases or concepts. Specifically extracting institution names would fall under NER. You can do this with spaCy. Extracting commonly used phrases would fall under keyword extraction. For this, you can study frequencies of n-grams of length > 1 and optionally filter based on POS (i.e. NOUN+ADJ). I've never used RAKE (https://github.com/csurfer/rake-nltk) but I've heard this is also a popular method.
stocksight
-
Künstliche Intelligenz zum traden
Hier nochmal das Stock Sight Repository: https://github.com/shirosaidev/stocksight
-
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
What are some alternatives?
yake - Single-document unsupervised keyword extraction
freqtrade - Free, open source crypto trading bot
pke - Python Keyphrase Extraction module
etf4u - 📊 Python tool to scrape real-time information about ETFs from the web and mixing them together by proportionally distributing their assets allocation
NLTK - NLTK Source
WordDumb - A calibre plugin that generates Kindle Word Wise and X-Ray files for KFX, AZW3, MOBI and EPUB eBook.
flashtext - Extract Keywords from sentence or Replace keywords in sentences.
trendet - :chart_with_upwards_trend: Python package for trend detection on stock time series data :chart_with_downwards_trend:
nepse-api - NEPSE API wrapper fetches the data from Nepali Stock Site and provides them in a pythonic and usable way.
hepscrape - arXiv:hep-ph scraper
twitter-stock-sentiment - Use twitter to get live and trending stock sentiment!