Utilizing Automated Text Analysis to Support Interpretation of Narrative Feedback
Tidy and Split Narrative Text
Load Stopwords
Load Corrections
Correct Text
Create Narratives Dataset
Create Output for Sum Up
Append Stopwords
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Clean Text
Get Polarity from Grasp
Lemmatize Sentences Using a UDPipe Model
Obtain Word Counts
Pipe operator
Replace Abbreviations
Run Sum Up
Sentiment Analysis using Grasp
Sentiment Analysis using sentimentr
Settings functionality for package 'sumup'
sumup: Utilizing Automated Text Analysis to Support Interpretation of ...
Text Cleaning and Processing Functions
Topic Classification for Narrative Data
Topic Modeling with Latent Dirichlet Allocation (LDA)
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Combine topic modeling and sentiment analysis to identify individual students' gaps, and highlight their strengths and weaknesses across predefined competency domains and professional activities.