Fast Data Science Ltd is a consulting company offering data science and natural language processing services.
We provide Data Science and Data Strategy consulting, specialising in text, images, unstructured data, healthcare, pharmaceuticals.
Read more on our website or on our Github Pages.
The Harmony project (Github repo) - Harmony is a tool and research project using natural language processing to harmonise mental health data. Read more at https://harmonydata.ac.uk and try the demo at https://harmonydata.ac.uk/app.
Clinical Trial Risk Tool (Github repo) - a tool using natural language processing to categorise clinical trial protocols (PDFs) into high, medium or low risk. Read more at https://clinicaltrialrisk.org/ and try the demo at https://app.clinicaltrialrisk.org/.
Localspelling (Github repo) - a library for localising spelling between US and UK variants - install from the command line with pip install localspelling
country_named_entity_recognition (Github repo) - a lightweight Python library for recognising country names in unstructured text and returning Pycountry objects pip install country_named_entity_recognition
drug_named_entity_recognition (Github repo) - a lightweight Python library for recognising drug names in unstructured text pip install drug-named-entity-recognition
Fast Stylometry (Github repo) - a Python library for forensic stylometry. pip install faststylometry. Read tutorial.
We regularly post on Fast Data Science's blog.
Popular posts include
You can contact us on our website.
Stylometry library for Burrows' Delta method
Clinical Trial Risk Tool for analysing clinical trial protocols using natural language processing and assessing the risk of ending uninformatively, developed by Fast Data Science
Code to find country names
Forked from fastdatascience/drug_named_entity_recognition
Company named entity recognition
Code for evaluating the Insolvency Bot
Jupyter Notebook 3
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