NewsBank Text Analysis \(-\) Brazil
Section 1: China - Brazil News Articles
Keywords
- Confucious Institute/Classroom
- New Development Bank
- Huawei
- Sinovac/Sinopharm
- Petrobras
- Eletrobrás/Centrais Elétricas Brasileira
- Ministry of Agriculture/MAP
- BRICS
Frequency by Year
| 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | |
|---|---|---|---|---|---|---|---|---|---|
| Chinese Media | 651 | 744 | 474 | 971 | 1071 | 1287 | 687 | 615 | 236 |
| Brazilian Media | 132 | 58 | 111 | 117 | 40 | 1 | 1 | 208 | 194 |
| Western Media | 1709 | 1684 | 1209 | 1581 | 3042 | 4260 | 3293 | 2443 | 649 |
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 | 0.027*** |
| (0.001) | |
| wst | -0.004*** |
| (0.001) | |
| Constant | 0.001 |
| (0.001) | |
| Observations | 27,468 |
| R2 | 0.140 |
| Adjusted R2 | 0.140 |
| Residual Std. Error | 0.033 (df = 27465) |
| F Statistic | 2,233.653*** (df = 2; 27465) |
| 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-BRA 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 - Brazil News Articles
Keywords
- Petrobras
- Eletrobrás/Centrais Elétricas Brasileiras
- Ministry of Agriculture/MAPA
- BRICS
- Rosatom
- Eletrobras Termonuclear/Eletronuclear
- Russian Direct Investment Fund
- Embraer
- Brazilian Navy
- GLONASS
- Sputnik V
Frequency by Year
| 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | |
|---|---|---|---|---|---|---|---|---|---|
| Russian Media | 42 | 36 | 27 | 1 | 6 | 30 | 53 | 60 | 5 |
| Brazilian Media | 138 | 60 | 112 | 128 | 45 | 1 | 0 | 179 | 182 |
| Western Media | 690 | 748 | 561 | 887 | 615 | 430 | 802 | 1320 | 286 |
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 | -0.007*** |
| (0.002) | |
| wst | -0.005*** |
| (0.001) | |
| Constant | 0.001 |
| (0.001) | |
| Observations | 7,444 |
| R2 | 0.003 |
| Adjusted R2 | 0.002 |
| Residual Std. Error | 0.030 (df = 7441) |
| F Statistic | 9.620*** (df = 2; 7441) |
| 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 - Brazil articles in the first section.
Sentiment Analysis: Keywords
Both the boxplots below convey the same information. Pick one or both:
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