A survey of the applications of text mining for agriculture
2019
Drury, Brett | Roche, Mathieu
Agricultural researchers, in common with other domains, have recently began to have access to large collections of agricultural texts such as scientific papers and news stories. These texts can be analysed with text mining techniques to resolve agricultural problems or extract knowledge. Despite the potential of these techniques, text mining is a relatively underused technique in the agricultural domain. Therefore, this survey is intended to provide a current state of the art survey of the application of text mining techniques to agricultural problems.
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书目信息
出版者
Korean Society for Horticultural Science
其它主题
Survey; Sentiment analysis; Information extraction
语言
英语
类型
Journal Article; Text
2024-02-29
2026-02-03
MODS