Computational Linguistics Course
What will I learn?
Unlock the power weh language get wit wi Computational Linguistics Course, tailor-made for people weh dey do Business Intelligence. Enter inside topic modeling wit Latent Dirichlet Allocation, sabi sentiment analysis well-well using spaCy and NLTK, and use Seaborn and Matplotlib to show text data clear-clear. Make ya skills for text processing strong, including tokenization and lemmatization, and learn di important ways to clean data. Finish wit how to report and tok wit people so dem go understand di information weh you find, so stakeholders go sabi wetin dey happen.
Apoia's Unique Features
Develop skills
Strengthen the development of the practical skills listed below
Master topic modeling: Find di hidden things weh dey inside text data wit LDA.
Perform sentiment analysis: Know how people dey feel using spaCy and NLTK tools.
Visualize text data: Make charts weh go show things clear-clear wit Seaborn and Matplotlib.
Process text efficiently: Tokenize, stem, and lemmatize wit Python.
Communicate insights: Give clear reports and summaries to di people weh need to know (stakeholders).
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can 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 equivalent to a technical, undergraduate, or postgraduate course, but offers practical and relevant knowledge for your professional journey.