期刊
COMPUTERS AND ELECTRONICS IN AGRICULTURE
卷 163, 期 -, 页码 -出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.compag.2019.104864
关键词
Text mining; Information retrieval; Information extraction; Sentiment analysis; Agriculture
资金
- FAPESP [16/15524-3]
- Fundacao de Amparo a Pesquisa do Estado de Sao Paulo (FAPESP) [16/15524-3] Funding Source: FAPESP
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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