Website Information Extraction Method and Algorithms Based on Big Data Technology

被引：0

作者：

Zhang Guoming ^{[1
]}

机构：

[1] Nanchang Inst Sci & Technol, Nanchang 330108, Jiangxi, Peoples R China

来源：

2019 4TH INTERNATIONAL WORKSHOP ON MATERIALS ENGINEERING AND COMPUTER SCIENCES (IWMECS 2019) | 2019年

关键词：

Data segmentation; Path algorithm; Big data technology; Web site information extraction;

D O I：

10.25236/iwmecs.2019.074

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Based on the rich experience of teaching practice and theoretical analysis, it scientifically explained the cognitive semantic theory in vocabulary teaching methods, and apply them to the practice, in order to test the effectiveness of new vocabulary teaching method. This paper has conducted the empirical research combined vocabulary teaching empirical analysis with questionnaire survey. The results show that, English vocabulary teaching in higher vocational colleges under the guidance of the cognitive semantics theory helps to strengthen the students' vocabulary cognitive thinking, to construct complete and systematic vocabulary semantic network, greatly stimulate students' vocabulary learning interest and initiative, improve the students' vocabulary learning efficiency, to improve students' vocabulary level in a maximum degree.

引用

页码：375 / 379

页数：5

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