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Review of Chinese Text Mining in Agriculture
Abstract
Agricultural text mining refers to the utilization of natural language processing and deep learning techniques to extract and analyse useful information from a vast amount of existing agricultural texts. Nowadays, there is a tremendous quantity of text information related to Chinese agriculture; however, there is a scarcity of summarization and generalization in the field of agricultural text mining. This leads to duplicated and redundant agricultural textual information, making it difficult to obtain a holistic perspective on agricultural texts. Therefore, this chapter aims to categorize and summarize the latest developments in text mining in Chinese agricultural domain. Firstly, following the order of Chinese agricultural text mining, various methods for agricultural text preprocessing and representation are introduced. Then, research work related to Chinese agricultural text classification and matching is discussed in detail. Finally, the chapter concludes with a summary of the current state of research in agricultural intelligent services. This chapter contributes to a better understanding of the research trends in this field and provides suggestions and inspiration for future studies.
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