Document ClassificationKnowledge Management Case Study
A large video gaming company wanted their employees to easily access the 6-million documents stored in their knowledge management platform, so that they could capitalize on technical, gameplay and gamer experience best practices. Their documents needed to be better categorized.
The video gaming company needed support in building the dataset to be used to train a Natural Language Processing model that automatically classifies documents in their Knowledge Management platform.
Ingedata built a team of Native-English annotators to review and tag documents. An agile production process was set to streamline production and guarantee high quality. The annotation process was purpose-designed to meet Recall and Precision targets.
“A baby learns to crawl, walk and then run. We are in the crawling stage when it comes to applying machine learning.”
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