爬行
互联网
计算机科学
可靠性(半导体)
报纸
网络爬虫
过程(计算)
万维网
名词
网页
情报检索
人工智能
广告
量子力学
医学
解剖
操作系统
物理
业务
功率(物理)
作者
Jeong Yong Lee,Young-Ae Jung
出处
期刊:Journal of contents computing (Online)
[Digital Contents Society]
日期:2019-12-31
卷期号:1 (1): 61-72
标识
DOI:10.9728/jcc.2019.12.1.1.61
摘要
People generally utilize internet searching as a mean of the obtainment of information before using any other searching method. However, the amount of data on the Internet is ginormous so that it is almost impossible to check them all manually at the same time there is a wide gap between the level and the reliability of the data. This paper began to solve the above-mentioned issues and proposed the method to collect and refine reliable information from the Internet using web crawling technology literary research. This research conducted the web crawling using a specified keyword based on Korean writer and collect the concerned data from the internet newspapers that guarantee minimum reliability. Nouns extracted from the collected data through the process and sorted by frequency. Nouns with a high frequency mean that they are highly related to the author so that they can utilize as basic data to decide the direction for research concerned writers
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