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Kang, N. (2023). The South Korea Halloween Crush in CNN News: A NetMiner Analysis. Advances in Social Sciences Research Journal, 10(1). 302-311.

URL: http://dx.doi.org/10.14738/assrj.101.13796

that topic 2 was the most occurred one in 40 pieces of CNN news, followed by topic 7, topic 6,

and topic 1. We also contend that the probability for the word Seoul to be the first keyword is

the highest (0.136). In section 2.4, we argue that the word person was the most occurred one in

40 pieces of CNN news, followed by the word crowd, the word Seoul, the word police, the word

Itaewon, and the word crush, in that order. Finally, we show that the keywords accident, call,

official, response, report, and government are directly linked to the word emergency. These links

seem to show that people in danger requested for rescue.

RESULTS

Frequency of Words and Their Proportion

In what follows, we aim at examining the frequency of nouns occurred in 40 pieces of CNN news

and their proportion. Table 1 shows the frequency of words used in the CNN news, their

proportion, and their cumulative proportion:

Table 1 Frequency of nouns

Value Frequency Proportion Cumulative Proportion

1.0 443 0.394 0.394

2.0 210 0.187 0.58

3.0 109 0.097 0.677

4.0 70 0.062 0.74

5.0 52 0.046 0.786

6.0 29 0.026 0.812

7.0 29 0.026 0.837

8.0 19 0.017 0.854

9.0 19 0.017 0.871

10.0 15 0.013 0.884

11.0 6 0.005 0.89

12.0 10 0.009 0.899

13.0 10 0.009 0.908

14.0 8 0.007 0.915

15.0 15 0.013 0.928

16.0 8 0.007 0.935

17.0 8 0.007 0.942

18.0 4 0.004 0.946

19.0 3 0.003 0.948

20.0 3 0.003 0.951

21.0 3 0.003 0.954

22.0 1 0.001 0.955

23.0 3 0.003 0.957

24.0 2 0.002 0.959

25.0 1 0.001 0.96

26.0 2 0.002 0.962

27.0 2 0.002 0.964

29.0 1 0.001 0.964

30.0 3 0.003 0.967

31.0 4 0.004 0.971

32.0 2 0.002 0.972

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34.0 2 0.002 0.974

36.0 2 0.002 0.976

39.0 3 0.003 0.979

43.0 1 0.001 0.98

45.0 1 0.001 0.98

46.0 1 0.001 0.981

49.0 2 0.002 0.983

50.0 1 0.001 0.984

52.0 2 0.002 0.986

53.0 1 0.001 0.987

54.0 1 0.001 0.988

55.0 2 0.002 0.989

59.0 1 0.001 0.99

62.0 2 0.002 0.992

63.0 1 0.001 0.993

87.0 1 0.001 0.994

100.0 1 0.001 0.995

102.0 1 0.001 0.996

122.0 1 0.001 0.996

151.0 1 0.001 0.997

178.0 1 0.001 0.998

187.0 1 0.001 0.999

265.0 1 0.001 1

Total 1125 1

It is probably worthwhile pointing out that one word has the highest frequency (443 tokens)

and the highest proportion (0.394) in 40 pieces of CNN news. It is worth mentioning, on the

other hand, that the frequency of two words used in the CNN news is 210 tokens (the second

highest). It should be noted that their proportion is 0.187 and their cumulative proportion is

0.58. I think it must be pointed out that there are three words used in the CNN news and that

their proportion and their cumulative proportion are 0.097 and 0.677, respectively.

Note that their frequency is 109 tokens and it ranks third (the third highest). Additionally, there

are four words whose frequency is 70 tokens. Notice that there are five words that often

occurred in the CNN news and their frequency is 52 tokens (the fifth highest). As exemplified

in Table 1, the overall frequency of all words occurred in the CNN news is 1,125 tokens and

their proportion is 1 (100%). We thus conclude that one word has the highest frequency (443

tokens) and the highest proportion (0.394) in the CNN news.

Word Cloud

In the following, we provide word cloud in which the relevant keywords are represented in

different sizes. Table 2 shows word cloud that is related to 40 pieces of CNN news: