Computational Linguistics Course
What will I learn?
Anlaka di powa we languij av widi Kompyutishan Linguistiks Kuos, we mek speshal fi Bizniz Intelijens piipl. Ron wid Latent Dirichlet Allocation fi tapik madlin, get gud a sentiment analisys yusing spaCy an NLTK, an mek kluuful pikcha wid Seaborn an Matplotlib. Mek yu skil dem betta ina teks prosesin, laik tun teks go likl bit (tokenization) an fain di ruut wod (lemmatization), an lorn impuotant dieh cleanin tingz. Finsh op wid gud ripuotin an taakin we piipl andastan fi shuo di sitn dem we yu fain tu di piipl dem we kyan mek disishan.
Apoia's Unique Offerings
Develop skills
Enhance the development of the practical skills listed below
Bi di baas a tapik madlin: Fain di sitn dem we a hiden ina di teks wid LDA.
Du sentiment analisys: Figa out wa piipl a fiil yusing spaCy an NLTK tuulz.
Mek pikcha wid di teks: Kriet chaat dem we mek sens wid Seaborn an Matplotlib.
Proses teks kwik-kwik: Ton di teks go likl bit, tek out di ruut wod, an fain di ruut wod wid Python.
Taak bout di sitn dem we yu fain: Giiv klia riport an sumari dem tu di piipl dem we kyan mek disishan.
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'll 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.