Text Mining Course
What will I learn?
Vhurai simba remashoko akawanda ne Chikoro chedu cheText Mining, chakagadzirirwa nyanzvi dzeBusiness Intelligence dzinoda kuwedzera hunyanzvi hwadzo hwekuongorora. Tsvagai nzira dzekugadzirisa magwaro dzakadai sekushandura mashoko kuita mudzi wawo (stemming) nekushandisa mazwi akakodzera (lemmatization), nyatsoziva kugadzira madingindira (topic modeling) neLatent Dirichlet Allocation, uye ongororai mafungiro evanhu (sentiment analysis) muchishandisa TextBlob neVADER. Dzidzai kuonesa data nemagwaro akaita segore remashoko (word clouds) nema graph emanzwiro, mowachinja kuita mazano anogona kushandiswa. Simudzira hunyanzvi hwenyu hweBI nekudzidza kwakapfupika, kwakanaka, uye kunoshanda.
Apoia's Unique Features
Develop skills
Enhance your development of the practical skills listed below
Buditsa pfungwa dzakakosha: Nyatsoziva maitiro ekuburitsa pfungwa dzinokosha kubva mumashoko.
Onesai data: Dzidzai kugadzira zvioniso zvinokwezva zvekutarisa mashoko.
Gadzirisai mashoko: Wanai hunyanzvi hwekuchenesa nekugadzirisa mashoko.
Itai ongororo yemanzwiro: Ongororai manzwiro evanhu muchishandisa TextBlob neVADER.
Gadzirai madingindira: Vakai nekuyera madingindira anoshanda.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can modify 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.