NLP from Zero to Hero tutorials mini-series

I found this mini-series of NLP tutorials. It starts from scraping Google and social media till applying NLP techniques to real-world problems, passing through preparing a PIP package to make repetitive code easier. (code needed is included)

Learn data cleaning using regex, generating a word cloud, visualization of the unigram, bigram, and trigram on the text data, Parts of speech tagging, Named entity recognition, and Sentiment analysis in this tutorial https://omdena.com/blog/nlp-regex/

Learn how to get data from news articles and other google URL sources, how to scrap Twitter, and how to deploy the code as a package to save efforts https://omdena.com/blog/nlp-libraries/

For advanced NLP, find out what LDA is, Topic Modeling, Machine Learning in NLP, models implementation and evaluation here https://omdena.com/blog/topic-modeling-tutorial/

Apply what you learned on an impact real-world problem like understanding youth sentiments by analyzing aspirations, fears, and thoughts of the youth through scraping the web and youth-led media. Analyzing different topics like human rights, politics, education, etc. in this case study https://omdena.com/blog/youth-sentiment/