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Text Mining Course
Unlok di powa weh text data have wid wi Text Minin' Course, weh design fi Business Intelligence piple dem weh a look fi mek dem analytical skill betta. Dive een goh learn bout text pre-processin' tekniik dem like stemmin' an' lemmatization, master topic modelin' wid Latent Dirichlet Allocation, an' explore sentiment analysis yuh using TextBlob an' VADER. Learn fi visualize data through word cloud an' sentiment graph, an' change insights intuh actionable recommendation dem. Elevate yuh BI expertise wid concise, high-quality, an' practical learnin'.
- Extract key insight: Master how fi identify di main insight dem fram text data.
- Visualize data: Learn how fi create visualization weh lickle bit impactful fi text analysis.
- Preprocess text: Get di skill dem fi clean an' normalize text data.
- Conduct sentiment analysis: Analyze sentiment yuh using TextBlob an' VADER.
- Develop topic models: Build an' evaluate topic model dem weh effective.

from 4 to 360h flexible workload
certificate recognized by the MEC
What will I learn?
Unlok di powa weh text data have wid wi Text Minin' Course, weh design fi Business Intelligence piple dem weh a look fi mek dem analytical skill betta. Dive een goh learn bout text pre-processin' tekniik dem like stemmin' an' lemmatization, master topic modelin' wid Latent Dirichlet Allocation, an' explore sentiment analysis yuh using TextBlob an' VADER. Learn fi visualize data through word cloud an' sentiment graph, an' change insights intuh actionable recommendation dem. Elevate yuh BI expertise wid concise, high-quality, an' practical learnin'.
Elevify advantages
Develop skills
- Extract key insight: Master how fi identify di main insight dem fram text data.
- Visualize data: Learn how fi create visualization weh lickle bit impactful fi text analysis.
- Preprocess text: Get di skill dem fi clean an' normalize text data.
- Conduct sentiment analysis: Analyze sentiment yuh using TextBlob an' VADER.
- Develop topic models: Build an' evaluate topic model dem weh effective.
Suggested summary
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