基于精准农户信息的农业文本数据自动挖掘模型

Automatic Mining Model Based on the Precise Agricultural Data Information

随着农业科技信息的泛滥,而农户又得不到其想要的农业信息,面对广大农户对农业科技信息的迫切需求,如何解决农户所需信息的精准性问题成了人们研究的热点问题。本文根据农户所需农业信息的特点,对传统特征项加权算法进行改进,提出了一种更适合农业特征项加权的算法,结合改进的算法设计一个基于精准农户信息的农业文本数据信息的自动挖掘模型。

Although the information of agricultural science and technology has been widely spread, the farmers cannot get the information that they want. Facing the urgent need that farmers ask for the right information, how to solve the precision of the information becomes the hot issue. According to the characteristics of the needed agricultural information, the traditional feature weighted algorithm is improved and then a new feature weighted algorithm which is more suitable for farming characteristics is put forward. Combining with improved weighted algorithm, it designs an automatic text mining model based on the precise agricultural data information.