Writing is difficult for both students and experienced employees, as it requires adapting to different contexts. The document discusses building a custom corpus of over 21,000 text examples from sources like Reddit comments, blog posts, and government reports. It describes extracting features from the corpus, training a classification model to identify formality levels in writing, and using the model to provide user-level interpretation, feedback, and encouragement to help improve writing skills.

1. Student or seasoned employee, writing is hard.
And context specific.

2. Student or seasoned employee, writing is hard.
And context specific.

3. Demo

4. Source Documents Format
Reddit (6 subreddits) 17,003 comments JSON
“Ask A Manager” blog 1,215 posts Archived RSS feeds
Reports from michigan.gov 1,438 pages Extracted from PDF
Dissertations on OhioLINK 1,428 pages Extracted from PDF
Building a custom corpus

5. ● Content agnostic
● Interpretable
● Actionable
Corpus of
21,000+ text
examples
Feature
extraction,
engineering,
& scaling
Classification
model training
(XGBoost)
User-level
Interpretation
(SHAP)
Reasoning,
Feedback, &
Encouragement

6. ● Content agnostic
● InterpretableProfessional editor
feedback on feature
design & utility
Model accuracy: 78%
Normalized confusion matrix
Truelabels(leasttomostformal)
Predicted labels
(least to most formal)

7. @aktilot
aktilot.github.io
Amanda Tilot, Data Scientist