Natural Language Processing (NLP) on Social Media Data: Approaches, Datasets, Models

For private teaching, tutoring, feel free to reach out: https://www.superprof.com/ivy-league-phd-quantitative-biomedical-sciences-biochemistry-and-applied-mathematics-years-experience-data.html Getting Data: 0:15 Common Data Formats (JSON, CSV): 4:56 Extracting JSON in Python: 6:05 Comparing Posts vs Users: 7:40 NLP Models: 11:29 Word Frequency: 12:47 Word Dictionaries: 14:27 Neural Networks: 17:12 Semi-Supervised Learning: 19:21 Word Embeddings: 20:13 Latent Dirchlet Allocation (LDA, topic modeling): 22:46 Resources: Tweepy API: http://docs.tweepy.org/en/v3.5.0/api.html GetOldTweets: https://github.com/Jefferson-Henrique/GetOldTweets-python Reddit data: pushshift.io TikTok Api: https://github.com/tikstock/tiktok-app-api Yelp data for JSON example: https://www.kaggle.com/yelp-dataset/yelp-dataset?select=yelp_academic_dataset_business.json My research on comments: https://www.jmir.org/2018/12/e11817 Please 🙏 like and subscribe 👍! I would like to make videos full time to allow all people to access them for free instead of teaching privately for a school, and every bit of support helps me be able to reach that goal! Ask me anything on Discord or in the comments: https://discord.gg/tshJMB6Gsk