UiPath Document Understanding with NER - Part 2 - Merging and Cleansing NER Data | AI | RPA | ML

Named Entity Recognition (#NER) can extract key information from unstructured documents. It is one great mixture that we can introduce into Document Understanding workflows.

In this video, we will showcase how the data extracted through NER models can be merged into data provided through usual Document Understanding data extraction models. We also focus on identifying patterns in the data extracted by NER to come up with different logics to exact values that we are looking for.

▬ Contents of this video ▬▬▬▬▬▬▬▬▬▬

0:00 - Introduction
00:58 - Explanation on the Use Case
02:33 - Explaining the DU workflow (Taxonomy, Form Extractor), Exporting to Excel, NER extraction
09:31 - Quick Demo to showcase Results for Better Understanding of Data Extracted
14:10 - Finding data patterns on NER
17:04 - Building Custom Logic to Filter & Extract Key Information Out of NER Data
49:38 - Some Quick Tips

▬ Coming up Next ▬▬▬▬▬▬▬▬▬▬
- Tips and Tricks on using NER with DU for better accuracy
- Custom #NER models for customized data extraction

Link to Download Solution
https://drive.google.com/file/d/1MVAzR3WrQzx_BmsYAoizSggvy4kY7iTo/view?usp=sharing

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Видео UiPath Document Understanding with NER - Part 2 - Merging and Cleansing NER Data | AI | RPA | ML канала Lahiru Fernando