Natural Lang Processing Social Sciences · Quantitative Methods In The Social Sciences
I learned concepts of NLP. Python programming and how to solve data science problems.
Really few - Some basic NLP techniques that you find on most online tutorials.
Natural Language Processing models (Supervised Models; Unsupervised Topic Modelling) and Basic Python
Coding in Python and applying elements of Natural Language Processing
I was really disappointed by the class. The materials covered is really basic and corresponds to what you can find on most online tutorials. There is absolutely no theory to understand what are we doing. The professor comes unprepared to class and students have to basically look for him to find solutions to solve the code on Stack Overflow.
I'm not sure I'd recommend because it depends on the student's interest, and this is a course specifically designed for students to learn about a specific topic within machine learning (NLP). I guess I would recommend to those who are interested in learning Python or learning about NLP.
Natural language processing, how to deal with raw text data(clean text),etc.
The basics of natural language processing, including web scraping, text pre-processing, dimensionality reduction, text classification, topic modeling, sentiment analysis, etc. Also learned a lot of programming skills in Python.
The only think useful was - Jaccard similarity, pickling and maybe use of PCA in transformed text features
We gained hands on experience with various Natural Language Processing techniques and the realities behind obtaining and processing real data.