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Articles by Lee Harland

Focus on Text analytics “Human and Machine Intelligence: Building The Future Of Text Analytics”

We believe that together, Deep Learning and semantics have a significant role in the future of text analytics. For transforming unstructured content into usable data, we recommend a synergistic approach through a consistent API that addresses concerns over change management and future-proofing existing workflows. By leveraging the best of machine learning and organisational standards, there's a bright future ahead for text analytics in the STEM domain.