Hello Coral Community,
As currently I have some extra time, I would like to persuade some idea that has been in my head for a while.
Like most people (I guess), I find myself often skimming the comments under news articles. What I found very interesting is to check the comments under political articles especially when it comes to international affairs. The reason for this interest is not really to gain some enlightenment (as these comments tend to be of a very low quality and real discussions are rare), but to compare the poles of opinions. It would be really exciting to see how the commenters cluster in such polarizing topics, what kind of views/opinions they share and in what way the differ. Such visualization could possibly reveal organized troll attacks (which in my country of origin are rather often since years).
The most straightforward way to gain such insights is to use the information of likes (thumbs up). A more sophisticated approach would be to use some basic natural language processing tools to gain information from the comments and extract the main theses. I am willing to spend some effort in contributing to a solution that could visualise such findings. However, I am not sure where to start and whether there is something similar already implemented. After having a look at the github project, there seems to be quite many repos. Another issue is that to start such analysis, it would be crucial to have some initial data to test/verify ideas and approaches.
So my many questions can be summarized: would the Coral Community have any suggestion what is a good starting point to start working on such visualization tool?
Any help would be appreciated. Many thanks!