NewsBank Text Analysis \(-\) Hungary

Section 1: China - Hungary News Articles

Keywords

1. Belt and Road
2. Fudan University
3. Air China
4. Sinovac/Sinopharm
5. People’s Bank of China
6. Huawei
7. Confucius Institute/Classroom

Frequency by Year

	2014	2015	2016	2017	2018	2019	2020	2021	2022
Chinese Media	9824	10864	6576	11118	12070	12690	8831	8167	3222
Hungarian Media	6	10	14	30	13	32	33	55	13
Western Media	20043	22839	18666	21734	29348	25763	27509	21126	9129

20 Most Common Words

Sentiment Analysis: Time-Series Plots

Both of these plots show same information. Pick one:

Sentiment Analysis: Box Plots

Sentiment Analysis: Density Plots

Sentiment Analysis: Regression

	Dependent variable:
	sentiment
chn	0.009***
	(0.002)
wst	-0.022***
	(0.002)
Constant	0.016***
	(0.002)
Observations	279,725
R2	0.145
Adjusted R2	0.145
Residual Std. Error	0.035 (df = 279722)
F Statistic	23,686.734*** (df = 2; 279722)
Note:	*p<0.1; **p<0.05; ***p<0.01

Interpretation:

chn = coefficient for Chinese sources
wst = coefficient for Western sources
Constant = Intercept, which is the coefficient for Domestic sources

It shows that the sentiment score for CHN-HUN articles in domestic sources is close to zero, while Chinese sources are significantly more positive.

We can also see the same results in the boxplot and density plot above.

We can plot the above results in a coefficient plot below:

Sentiment Analysis: Coefficient Plot

Sentiment Analysis: Keywords

Both the boxplots below convey the same information. Pick one or both:

Section 2: Russia - Hungary News Articles

Keywords

1. Rostec
2. Rostatom
3. Gazprom
4. Paks II
5. Nuclear Forces Treaty
6. Sputnik V

Frequency by Year

	2014	2015	2016	2017	2018	2019	2020	2021	2022
Russian Media	556	375	283	80	64	198	321	165	55
Hungarian Media	25	43	49	31	22	17	24	48	111
Western Media	11291	10403	10706	12556	14758	11811	12704	10306	9633

20 Most Common Words

Sentiment Analysis: Time-Series Plots

Both of these plots show same information. Pick one:

Sentiment Analysis: Box Plots

Sentiment Analysis: Density Plots

Sentiment Analysis: Regression

	Dependent variable:
	sentiment
rus	-0.015***
	(0.002)
wst	-0.014***
	(0.002)
Constant	0.0003
	(0.002)
Observations	106,635
R2	0.001
Adjusted R2	0.001
Residual Std. Error	0.031 (df = 106632)
F Statistic	37.424*** (df = 2; 106632)
Note:	*p<0.1; **p<0.05; ***p<0.01

Interpretation:

rus = coefficient for Russian sources
wst = coefficient for Western sources
Constant = Intercept, which is the coefficient for Domestic sources

We can plot the above results in a coefficient plot below:

Sentiment Analysis: Coefficient Plot

Note the difference between this coefficient plot and the coefficient plot for China - Hungary articles in the first section.

Sentiment Analysis: Keywords

Both the boxplots below convey the same information. Pick one or both:

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