Big data era and Practice of Scientific writing |
young-deuk Shim |
빅데이터 시대와 과학기술 글쓰기의 실제 |
심영덕 |
|
|
Abstract |
It is important to verify the health of the accident through writing. In addition, it is natural that this should be a demand for the times. This is one of many tasks that a society needs to enter into the ranks of advancement.
This paper is interested in Big Data Analysis, which is deeply embedded in our life. However, big data analysis has limitations. The lack of a Korean semantic classification system makes it impossible to draw a clear picture of a vocabulary group that is highly correlated with a Korean vocabulary or phrase.
And to see how science and technology writing is related to Big Data. To do this, we first look at the status of the Big Data. Unlike other courses, writing is not something that should be taught in a specific subject. It is not comprehensive study, either. In a rigorous standard, it is not a collection of individual knowledge, but a rational way of approaching truth.
Professional writing in science is mostly problematic. Various tasks to be solved by science have become a problem of scientific writing. The problem usually includes diagnosis and research direction and purpose of the problem situation. The most prominent feature of science and technology writing is that it contains a large amount of charts in addition to daily verbal descriptions. For this reason, the ability to understand social issues and apply science technology to social needs is an essential item.
I analyzed the textbooks of the two universities and tried to focus on practical ones as much as possible. Scientific writing is difficult to apply the method in accordance with the department of study. Therefore, the students themselves must first acquire the theories of the chapter introduced in the textbook. |
Key Words:
Big Data, science Technology, algorithm. artificial intelligence, Communication, Corpus |
|