Computational Linguistics Course
What will I learn?
Open ya eye to di power wey language get wit wi Kompyuta Lingwistik Kos. Wi mek am spesho for pipul wey sabi Business Intelligence. Enta dip insai how to tek find out wetin dey buzz roun topik dem wit Latent Dirichlet Allocation, sabi how to check if pipul dey vex or dey happy using spaCy and NLTK, den draw fine fine picha wey go show wetin di text data mean wit Seaborn and Matplotlib. Mek yu text processing skill boku, lek how to break word dem and how to change dem to di base form. Learn how to clean data well well. Finish wit how to tok and report tinz so evribodi go understand wetin yu find out.
Apoia's Unique Features
Develop skills
Enhance the development of the practical skills listed below
Sabi topik modeling proper: Find wetin di main tin wey dey happen inside text data wit LDA.
Do sentiment analysis: Check if pipul feelin fine or dem vex using spaCy and NLTK tools.
Draw picha of text data: Draw picha wey go mek sense wit Seaborn and Matplotlib.
Process text fast: Break word dem, stem dem, den change dem to di base form wit Python.
Tell pipul wetin yu find out: Give clear report and sumari to di big big man dem.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can adjust the chapters and the workload.
- Choose which chapter to begin with
- Add or remove chapters
- Adjust the course workload
Examples of chapters you can add
You will be able to generate 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.