{"repo":"d-one/NLPeasy","free":true,"listed":false,"github":"https://github.com/d-one/NLPeasy","clone":"git clone https://github.com/d-one/NLPeasy.git","description":"Easy Peasy Language Squeezy","language":"Jupyter Notebook","stars":10,"topics":["nlp","kibana","spacy","datascience","elasticsearch"],"license":null,"category":"machine-learning","readme_excerpt":"NLPeasy ======= Build NLP pipelines the easy way Disclaimer: This is in Alpha stage, lot of things can go wrong. It could possibly change your Elasticsearch Data the API is not fixed yet and even the name NLPeasy might change. Free software: Apache Software License 2.0 Usage ----- For this example to completely work you need to have Python at least in Version 3.6 installed. Also you need to have install and start either - Docker , direct download links for Mac (DMG) and Windows (exe). - Elasticsearch and Kibana : or (pure Apache licensed version) Then on the terminal issue: The package scikit-learn is just used in this example to get the newsgroups data and preprocess it. The last command downloads a spacy model for the english language - for the following you need to have at least it's md (=medium) version which has wordvectors. Let's have some fun outside of Elastic/Kibana - but this needs pip install matplotlib Installation ------------ Prerequisites: - Python 3 (we use Python 3.7) - Elastic: Several possibilities - Have Docker installed - needs to have the docker package installed (see below). - Install and start Elasticsearch and Kibana: or (pure Apache licensed version) - Use any running Elasticsearch and Kibana (on premise or cloud)... - Pretrained Models: See below for Spacy Language Models and WordVectors It is recommended to use a virtual environment: The source statement has to be repeated whenever you open a new terminal. Then install Or the development version fr","default_branch":null,"files":null,"tree":[],"storefront":"/r/d-one","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/d-one/NLPeasy/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}