Computational Linguistics Course
What will I learn?
Unlock the power of language with our Computational Linguistics Course, tailored for Business Intelligence professionals. Dive into topic modeling with Latent Dirichlet Allocation, master sentiment analysis using spaCy and NLTK, and visualize text data with Seaborn and Matplotlib. Enhance your skills in text processing, including tokenization and lemmatization, and learn essential data cleaning techniques. Conclude with effective reporting and communication strategies to present insights clearly to stakeholders.
Apoia's Differentials
Develop skills
Strengthen the development of the practical skills listed below
Master topic modeling: Uncover hidden themes in text data with LDA.
Perform sentiment analysis: Gauge emotions using spaCy and NLTK tools.
Visualize text data: Create insightful charts with Seaborn and Matplotlib.
Process text efficiently: Tokenize, stem, and lemmatize with Python.
Communicate insights: Deliver clear reports and summaries to 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.