artunit / super_star_research

This research will surely win awards

Super Star Research

This research will surely win awards

This project analyzed the VADER Scores of the following three news articles from early December to determine which news source had the most negative thing to say about chatGPT.

December 7 https://www.bbc.com/news/technology-63861322

December 8 https://www.cnn.com/2022/12/05/tech/chatgpt-trnd/index.html

December 9 https://www.cbc.ca/news/business/chatgpt-artificial-intelligence-1.6681401

Dataset

	url	neg	neu	pos	compound
0	https://www.bbc.com/news/technology-63861322	0.119	0.767	0.114	-0.8202
1	https://www.cbc.ca/news/business/chatgpt-artificial-intelligence-1.6681401	0.03	0.863	0.106	0.9985
2	https://www.cnn.com/2022/12/05/tech/chatgpt-trnd/index.html	0.044	0.815	0.141	0.9997

Analysis

The following code was used to generate the visualization

labels = ['cnn','cbc','bbc']

plt.bar(labels, dataset["compound"])
plt.title("Sentiment of news sources")
plt.ylabel("Score")
plt.xlabel("News Source")
plt.savefig("graph.png")
plt.show()

Based on this anaylsis we can see that the CNN had the most negative score and therefore dislikes chatGPT the most.