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Review on knowledge extraction from text and scope in agriculture domain
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Journal Article
Review on knowledge extraction from text and scope in agriculture domain
2023
Overview
Knowledge extraction is meant by acquiring relevant information from the unstructured document in natural language and representing them in a structured form. Enormous information in various domains, including agriculture, is available in the natural language from several resources. The knowledge needs to be represented in a structured format to understand and process by a machine for automating various applications. This paper reviews different computational approaches like rule-based and learning-based methods and explores the various techniques, features, tools, datasets, and evaluation metrics adopted for knowledge extraction from the most relevant literature.
Publisher
Springer Nature B.V
