Building a Smart Safety Data Sheet Parser Using NLP Lab (Innovative Data Parsing Strategy)

At the “Building a Smart Safety Data Sheet Parser Using NLP Lab” session we dive into the Chemical Safety Data Sheet parsing techniques that help derive meaningful insights, filter out irrelevant information, and transform data into a more understandable format for downstream tasks.

The ever-expanding realm of unstructured data sources presents significant challenges when extracting valuable insights. In this talk, we will walk you through the main challenges that you may face and how the new SmarterParser solution is revolutionizing Data parsing.

First, we will walk through the main challenges including: Complicated Entity Extraction, Noisy Data Resulting in Inaccurately Parsed Outcome and Lack of Context. We also provide an overview of the Key Components of Wisecube’s SmartParser. Finally, we will present the BluePallet case study, a promising start-up that wanted to extract all relevant data from millions of Safety Data Sheets (SDS) and how Wisecube resolved this using an ML Model for Automatic Extraction and a Human in the Loop Validation process.

#AIInnovation #NLP #KnowledgeGraphs #MachineLearning #DataEngineering #DataScience #DataParsing #DataSheet #DataDriven #DataAnalysis #SDS

[Alexander.V]

I now understand how SDS processing can be improved. Thank you for the video and the helpful tips!