Computational Linguistics Course
What will I learn?
Open up the power wey dey inside language with our Computational Linguistics Training, wey we make am fit Business Intelligence people well-well. Enter inside topic modeling with Latent Dirichlet Allocation, sabi sentiment analysis use spaCy and NLTK, and show text data with Seaborn and Matplotlib. Make your skills strong for text processing, like tokenization and lemmatization, and learn important data cleaning ways. Finish with good reporting and how to talk to people so you fit show wetin you see clear clear to the people wey need to know.
Apoia's Unique Features
Develop skills
Enhance the practical skills listed below
Sabi topic modeling well-well: Find the themes wey hide inside text data with LDA.
Do sentiment analysis: Know how people dey feel use spaCy and NLTK tools.
Show text data clear clear: Make charts wey make sense with Seaborn and Matplotlib.
Process text fast and correct: Tokenize, stem, and lemmatize with Python.
Talk wetin you see make sense: Give reports and summaries wey clear to the people wey need to know.
Suggested summary
Workload: between 4 and 360 hours
Before beginning, feel free to change the chapters and the workload.
- Choose which chapter to start with
- Add or remove chapters
- Increase or decrease 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 development. It is not akin to a technical, undergraduate, or postgraduate course, but offers practical and relevant knowledge for your professional journey.