The idea is creating wordcloud for YouTube videos, and then Medium articles as well. I copied the idea from this guy btw. I used word_cloud from PyPi, lots of thanks to amueller for his effort on this project.
Update: It's been deployed to Heroku and most probably will be available till the Nov. 28th. Anyways. On Heroku
I believe I first learned about wordclouds in 2019 when I noticed my friends utilizing a tool to build them on Twitter. At the time, I thought it was a fun and unique way to see what you were exhibiting on social media. Because I was curious and insecure (government control) at the same time, I did not trust those free services out there that built Word-Clouds for Iranian Twitter members because it was easy to store those tweets in a single database and use the metadata inside them, it was like telling someone you don't know your entire life in 3200 tweets, at least for me. So I learnt the hard way and then made these clouds for a bunch of my pals who were having the same problem. I also assisted a friend of mine in developing a better version of this nonsense. Anyway, I'd forgotten about it for years until I saw some PhD students making word clouds out of Iranian tweets for Mahsa Amini a few days ago. I noticed those clouds ridicules and had some spare time, so I created this app that generates word clouds from YouTube movies. I believe that in the future, I will have more time to waste and will add Medium, the New York Times, and all of the other platforms that I use on a daily basis.
A word cloud, on the other hand, is a semi-good or not-bad resource for researchers that may be used to analyze qualitative data in the form of texts. It is beneficial in presentations and other situations. In fact, I use it to determine how leftist someone is by seeing a lot of terms like inequality, rich and poor people. It's not the most precise method, but it's quick.
It allows me to quickly grasp what the video is about; for example, if I see a video of Milton Friedman with a large poverty in it, I know that this particular video is just some idiot student asking stupid questions.
A few decades ago, a student inquired about the state's role to combat poverty. This world is fucked. Watch the video.
Take a look at this cloud; it's full with words like Mahsa Amini, for, all, ha (pluralizes Persian words) and even \uc, indicating that the data isn't nice or clean because the guy didn't know what stopwords are. Whatever, he claims to be a PhD, and I trust him. (: Like that idiotic student in Friedman's video.
- Main Objective: Creating Wordclouds (:
- Flask App:
- Route /yt for Optional Video
- Additional Mask
- Additional STOPWORD
- Optional Mask
- Delete Tmp Files
- Medium Version
- All Other Sites including New York Times, Washington Post, The Economist, etc.
Lots of thanks to Roozbeh Sharifnasab for his masks. I was too lazy to find these masks.