Jupyter Hub for Natural Language Processing using Python packaged by Data Science Dojo

Data Science Dojo

Jupyter Hub for Natural Language Processing using Python packaged by Data Science Dojo

Data Science Dojo

Our Jupyter Instance provides easy to use environment for Natural Language Processing applications.

Data Science Dojo delivers data science education, consulting, and technical services to harvest the power of data.

Trademarks: This software listing is packaged by Data Science Dojo. The respective trademarks mentioned in the offering are owned by the respective companies, and use of them does not imply any affiliation or endorsement.

About the offer:

Jupyter Hub for Natural Language Processing using Python gives you an effortless coding environment in the cloud and pre-installed Natural Language Processing python libraries, reducing the burden of installation and maintenance of tasks. Through this offer, a user can work on different applications of Natural Language Processing, including sentiment analysis, machine translation, text summarization, chatbots, information grouping & retrieval, automated speech to text, speech recognition, social media monitoring, and voice assistants, and email filtering, and language translator. The heavy computations required for these applications are not performed on the user’s local machine. Instead, They are performed in the Azure cloud, which increases responsiveness and processing speed.

Who benefits from this offer:

Following can benefit from our instance:

  • Teams of developers
  • Data scientists
  • Machine learning engineers
  • Scientific researcher groups
  • And anyone else interested in data science tools

What is included in this offer:
  • Pre-installed Natural Language Processing libraries for python.
  • Ready to go notebooks which consist of example codes through which user can get guidance for working on Natural Language Processing.
  • Work with multiple notebooks at the same time.
  • Kernel-backed documents enable code in any text file (Markdown, Python, etc.) to be run interactively in Jupyter kernel.
  • Code consoles to run code interactively, with full support for rich output.
Technical Specifications:
  • Recommended memory: 8GB RAM
  • Recommended vCPU:4 vCPUs
  • Operating System:Ubuntu 18.04

Our offer provides repositories for books:

  • Github repository of book Practical Natural Language Processing, published by O'Reilly.
  • Github repository of book Hands on Natural Language Processing with Python, published by Packt.

Following Authoring Tools are supported in this offer:

  • JupyterHub
  • Jupyter Lab
  • Terminal

Our instance supports following python libraries:

  • nltk
  • numpy
  • spacy
  • textblob
  • corenlp
  • textblob
  • PyNLPl
  • polyglot
  • scikit-learn

The default port JupyterHub listens to is 8000. You can access the web interface at http://yourip:8000 using the credentials

  • username:guest
  • password:guest@123
The Jupyter Trademark is registered with the U.S. Patent & Trademark Office.