All YouTube comments scrapped using third-party web-based app http://ytcomments.klostermann.ca/. Topic of the video : Usai Laga Pilpress - Mata Najwa (Whole section of 'Usai Laga Pilpres' seperated into 7 different parts in youtube).
- Part 1 - https://youtu.be/ltoDtNSyoLM
- Part 2 - https://youtu.be/-vpUvEPZQHI
- Part 3 - https://youtu.be/YvMAhjFo48c
- Part 4 - https://youtu.be/pqJ5XPALvFM
- Part 5 - https://youtu.be/vUnzCSfDJgQ
- Part 6 - https://youtu.be/r0u4oGIwOOA
- Part 7 - https://youtu.be/9ON1ZJV4K_s
This project works by scraping YouTube comments and identify the sentiment of comments. We concepting the whole project from orange first, and we finalize all the codes in jupyter notebook directly. I hope I can apply sentiment analys (indonesian language) in youtube comments. I hope that this algorithm can detect positive (appreciation, motivationing, etc) and negative words (sarcastic, sassy, meany, etc) when someone comments on youtube.
Python 3
pip(Python Package Index) :
$ sudo apt-get install python3-pip
requests package :
$ sudo pip3 install requests
lxml package :
$ sudo apt-get install libxml2-dev libxslt1-dev python-dev
$ pip3 install lxml
matplotlib package :
$ sudo pip3 install matplotlib
nltk package :
$ sudo pip3 install nltk
$ nltk.download()
wordcloud package :
$ sudo pip3 install wordcloud