Computational Linguistics Course
What will I learn?
Unlock the power ya language na iyi Computational Linguistics Course, especially if you are in Business Intelligence. We go dive deep into topic modelling using Latent Dirichlet Allocation, become masters in sentiment analysis using spaCy and NLTK, and learn how to visualise text data using Seaborn and Matplotlib. You go improve your skills mu text processing, including tokenization na lemmatization, and learn important data cleaning methods. Finally, you go learn how to write good reports and communicate your findings clearly to everyone.
Apoia's Unique Offerings
Develop your skills
Enhance your practical skills listed below
Master topic modelling: Find hidden themes mu text data using LDA.
Perform sentiment analysis: Measure the emotions using spaCy and NLTK tools.
Visualize text data: Create charts that make sense using Seaborn and Matplotlib.
Process text efficiently: Tokenize, stem, and lemmatize using Python.
Communicate insights: Write clear reports and summaries for everyone to understand.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can change the chapters and 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 similar to the examples below
This is a free course aimed at personal and professional development. It is not equivalent to a technical, undergraduate, or postgraduate course, but provides practical and relevant knowledge for your professional journey.