Our 2021 NLP Industry Survey report is informed by several important contrasts: organizations with years of history deploying NLP applications in production compared to those which are exploring NLP, responses from Technical Leaders versus general practitioners, and company size. We draw insights and indicate trends based on those contrasts. This survey was conducted in collaboration1 with John Snow Labs.
Here are a few highlights:
NLP Budgets remain robust: 60% of Tech Leaders indicated that their NLP budgets grew by at least 10% compared to 2020. A third (33%) of Tech Leaders indicated that their NLP budgets grew by at least 30%.
Users want high-accuracy tools that are easy to tune and customize: Tech Leaders emphasized the following features as key to NLP solutions – Accuracy, Production Readiness, and Scalability.
Named Entity Recognition (NER) and Document Classification are the most popular applications of NLP.
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[1] This survey is part of a collaboration between Gradient Flow and John Snow Labs. See our Statement of Editorial Independence. This was an online survey which ran for 65 days and closed August 13, 2021.
