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
| 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 |
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.