Computational Linguistics Course
What will I learn?
Learn how to use computers to understand and work with language in our Computational Linguistics Course, designed especially for Business Intelligence people like you. You go deep into finding topics inside texts using Latent Dirichlet Allocation (LDA). You go sabi well well how to do sentiment analysis (to know how people dey feel) using spaCy and NLTK. You go also learn how to use Seaborn and Matplotlib to draw pictures that show what the text data means. You go get better for washing text data make e clean, including how to break words into pieces (tokenization) and how to find the main meaning of words (lemmatization). Finally, you go learn how to talk and write clear reports so you fit tell people what you find out for the work.
Apoia's Unique Features
Develop skills
Enhance the development of the practical skills listed below
Sabi find topic well well: Find the hidden topics inside plenty text using LDA.
Do sentiment analysis: Know whether people dey happy, sad, or vex using spaCy and NLTK.
Draw picture for text data: Make fine fine charts with Seaborn and Matplotlib so people fit understand quick.
Process text quick quick: Break words into pieces, find their stems, and lemmatize them using Python.
Talk about wetin you see: Write clear reports and short summaries to tell people wetin you find out.
Suggested overview
Workload: between 4 and 360 hours
Before getting started, you can adjust the chapters and the workload.
- Choose which chapter to begin with
- Add or remove chapters
- Increase or decrease the course workload
Examples of chapters you can include
You'll be able to create more chapters like the examples below
This is a free course, focused on personal and professional growth. It is not equivalent to a technical, undergraduate, or postgraduate course, but offers practical and relevant knowledge for your professional journey.