NewsBank Text Analysis \(-\) Kyrgyzstan
Section 1: China - KGZ News Articles
Keywords
- Belt and Road
- Uyghur
- SCO
- People’s Bank of China
- Huawei
- ZTE
- PLA
- Sinovac/Sinopharm
- Confucius Institute/Classroom
Frequency by Year
| 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | |
|---|---|---|---|---|---|---|---|---|---|
| Chinese Media | 4722 | 6071 | 4366 | 8468 | 8834 | 9315 | 5479 | 5197 | 2037 |
| Kyrgyzstan Media | 236 | 177 | 235 | 218 | 212 | 283 | 120 | 130 | 42 |
| Western Media | 11758 | 13060 | 13606 | 14806 | 19043 | 14121 | 14106 | 12407 | 5193 |
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 | 0.018*** |
| (0.001) | |
| wst | -0.013*** |
| (0.001) | |
| Constant | 0.010*** |
| (0.001) | |
| Observations | 174,242 |
| R2 | 0.140 |
| Adjusted R2 | 0.140 |
| Residual Std. Error | 0.035 (df = 174239) |
| F Statistic | 14,177.042*** (df = 2; 174239) |
| 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-KGZ 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 - KGZ News Articles
Keywords
- Rostec
- CSTO
- Gazprom
- EEU
- Sputnik V
Frequency by Year
| 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | |
|---|---|---|---|---|---|---|---|---|---|
| Russian Media | 169 | 132 | 97 | 35 | 20 | 58 | 114 | 111 | 31 |
| Kyrgyzstan Media | 196 | 303 | 168 | 174 | 132 | 152 | 86 | 148 | 123 |
| Western Media | 589 | 262 | 148 | 210 | 211 | 257 | 683 | 1423 | 1159 |
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 | -0.010*** |
| (0.001) | |
| wst | -0.015*** |
| (0.001) | |
| Constant | -0.001 |
| (0.001) | |
| Observations | 7,191 |
| R2 | 0.035 |
| Adjusted R2 | 0.035 |
| Residual Std. Error | 0.030 (df = 7188) |
| F Statistic | 131.447*** (df = 2; 7188) |
| 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 - Kyrgyzstan articles in the first section.
Sentiment Analysis: Keywords
Both the boxplots below convey the same information. Pick one or both:
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