spaCy is a free library for advanced Natural Language Processing (NLP) in Python. It’s designed specifically for production use and helps you build applications that process and “understand” large volumes of text. It can be used to build information extraction or natural language understanding systems.
Keyword spaCy is a spaCy pipeline component for extracting keywords from text using cosine similarity
A simple library for training named entity recognition model from partially annotated data
Technical and sentiment analysis to predict the stock market with machine learning models based on historical time series data and news article sentiment collected using APIs and web scraping
Extensive tutorials for the Advanced NLP Workshop in Open Data Science Conference Europe 2020
NLP Cheat Sheet, Python, spacy, LexNPL, NLTK, tokenization, stemming, sentence detection, named entity recognition
Generating multiple choice questions from text using Machine Learning