Application of Azure Computer Vision OCR Service - Extracting Text for NLP Python Data Science Day (Дата оригинальной публикац
Acquiring data for Natural Language Processing (NLP) tasks, such as sentiment analysis, can be a formidable challenge. Recognizing the paramount importance of tailoring an environment to meet the dynamic needs of data scientists, Microsoft Azure offers indispensable tools, notably the Computer Vision Service. This service enables a seamless process for collecting and engineering data. Diverse data sources, spanning text from papers, pictures, books, and more, provide ample opportunities for enriching datasets.
Participants will gain insights into leveraging Microsoft Azure tools and Visual Studio Code extensions to streamline data acquisition, storage, and utilization for enhanced Natural Language Processing endeavors. The overarching goal is to empower data scientists with the resources needed to navigate the complexities of NLP data, ultimately fostering a more efficient and effective data science workflow. Storage technologies that would be incorporated are NoSQL (MongoDB), Azure Blob Storage, ultimately we also look at how to utilize local files provided and incorporate data from these sources and make use of the data for NLP tasks.
Chapters:
00:00 Application of Azure Computer Vision OCR Service
00:34 Tools we’ll be using
02:51 Azure Computer Vison overview
06:20 Today’s goal
06:56 Python in NLP
07:40 Demo
Resources:
Survey
Python at Microsoft
Cloud Skills Challenge - through April 15, 2024
GitHub codespaces
VS Code Release notes
Featuring: Theophilus Owiti, Machine Learning Practitioner, Microsoft Learn Student Ambassador (@lincolnowiti)
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