NewsBank Text Analysis \(-\) Italy

Section 1: China - Article News Articles

Keywords

1. “Confucius Institute|Confucius Classroom”
2. “Huawei”
3. “ChemChina”
4. “Pirelli”
5. “Skynet”
6. “Sinovac|Sinopharm”
7. “BRICS”

Frequency by Year

	2014	2015	2016	2017	2018	2019	2020	2021	2022
Chinese Media	649	727	458	964	1063	1272	677	609	232
Domestic Media	86	56	35	14	7	15	28	18	7
Western Media	1599	1409	988	1495	2955	4190	3299	2398	627

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	0.019***
	(0.002)
wst	-0.011***
	(0.002)
Constant	0.009***
	(0.002)
Observations	25,877
R2	0.135
Adjusted R2	0.135
Residual Std. Error	0.033 (df = 25874)
F Statistic	2,020.289*** (df = 2; 25874)
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-ITA 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 - Article News Articles

Keywords

1. “BRICS”
2. “Rosatom”
3. “Eskom”
4. “Gazprom|Gasprom”
5. “Rostec”
6. “Roscosmos”
7. “Russia Health Pharmaceuticals”
8. “Sputnik V”

Frequency by Year

	2014	2015	2016	2017	2018	2019	2020	2021	2022
Domestic Media	114	66	21	11	6	5	2	9	3
Russian Media	122	96	80	23	16	61	97	77	7
Western Media	979	580	360	746	492	391	637	1421	782

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	-0.002
	(0.002)
wst	-0.001
	(0.002)
Constant	-0.007***
	(0.002)
Observations	7,204
R2	0.0001
Adjusted R2	-0.0002
Residual Std. Error	0.029 (df = 7201)
F Statistic	0.312 (df = 2; 7201)
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 - Italy articles in the first section.

Sentiment Analysis: Keywords

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

End of File