RUSSIA / CHINA Research Project
Text Analysis of Mentions of “CPEC”

04/02/2022

Introduction to Data

N = 425 Articles

Media	Frequency
Chinese Media	197
Pakistani Media	191
Western Media	37
Total	425

Frequency of Media Outlets

Frequency of Media Outlets

Frequency of Media Outlets

Text Analysis: Most Common Words

Text Analysis: Sentiment Analysis

Note about the DV:
The dependent variable is a “Sentiment score”, which is similar to the “tone” variable that we have used previously.
Three major “Sentiment” Lexicons: Bing, NRC, AFINN.
See section 2.1 here

BING Sentiment Scores: All Media

BING Sentiment Scores: Chinese Media

BING Sentiment Scores: PAK Media

BING Sentiment Scores: Western Media

BING Sentiment Scores: Comparison

BING Sentiment Scores: Comparison

Bing Sentiment Scores By News Outlet

Bing Sentiment Scores By News Outlet

Sentiment Scores Comparison

Correlation: Three TYPES of Sentiment Scores

Parameter1	Parameter2	r	CI	CI_low	CI_high	t	df_error	p	Method	n_Obs
BING	NRC	0.77	0.95	0.73	0.81	24.65	419	0	Pearson correlation	421
BING	AFINN	0.89	0.95	0.87	0.91	39.76	419	0	Pearson correlation	421
NRC	AFINN	0.87	0.95	0.84	0.89	35.39	419	0	Pearson correlation	421

Conclusion

Expected Results
Need to gather more data ASAP
Alternative ways to hire RAs / Crowdsource data collection
Need to find proper N for each keyword for each country
Meeting with Database Rep tomorrow
Marlene paper: By Friday (only finishing touches left)
NAVCO data analysis : Next week