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A text analysis application for performing common NLP tasks through a web dashboard interface and an API
Home Page: http://www.nlpbuddy.io/
License: GNU Affero General Public License v3.0
Python 9.52%
CSS 19.05%
JavaScript 24.63%
HTML 46.58%
Makefile 0.21%
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a more light way as displaCy does it would also be beneficial on the sentences section
this could be a switch that shows lemmatized sentences, inside the sentences section (also inside the same structure on the API response)
the way it does it upon start
Make sure spaCy models (and GR classification model) are loaded only when necessary
improve summarization (currently stub)
eg when you hover over a NER, on the right side, highlight on text
Add instructions on how to install + test environment Tested on Ubuntu 16.04 with python 3.5 create virtual env: virtualenv -p python3.5 . source activate: source bin/activate clone project: https://github.com/eellak/text-analysis/ enter project dir: cd text-analysis install requirements: pip install -r requirements.txt run django migrations: python manage migrate install nginx: apt-get install nginx setup nginx + uwsgi configs: deploy/ ... . make sure to set the servername visit url...
(category for greek, keywords, sentences, lemma/tags on text results)
On scrolling the website, a back-to-top button can be included in the bottom-right corner to make it easier to navigate back to the top.
Please let me know if you need any help with this or if I can integrate this in the existing UI.