The document presents an analysis of character dialogue and sentiment in Shakespeare's works, detailing the number of speaking characters and lines, as well as the top male and female characters by verbiage. It includes sentiment statistics for several plays, showing a predominance of neutral and positive tones. Additionally, it reviews the accuracy of different classification models used for sentiment analysis, highlighting their performance metrics.

6. 935 speaking characters
111,395 lines
144 female characters
778 male characters
Top 5 Male Characters by Verbiage
1. Gloucester (1)
2. Hamlet (2)
3. Iago (3)
4. Falstaff (4)
5. King Henry V (5)
Top 5 Female Characters by Verbiage
1. Queen Margaret (12)
2. Cleopatra (19)
3. Helena (21)
4. Rosalind (24)
5. Portia (25)

9. Play Positive Neutral Negative Overall
Macbeth 8.7% 81.2% 10.1% Negative
Much Ado 11.7% 82.4% 5.8% Positive
Henry IV 8.3% 84.8% 6.9% Positive
A Winter’s Tale 9.1% 84.7% 6.2% Positive
Merry Wives 28% 67% 4.3% Positive
Measuring Sentiment in Shakespeare I
Sentiment Analysis Matches Traditional Literary Classification!

10. Play Positive Neutral Negative Overall
Merry Wives 28% 68.9% 4.2% Positive
Falstaff in
Merry Wives
27% 67% 5% Positive
Henry IV 8.3% 84.8% 6.9% Positive
Falstaff in
Henry IV
8.5% 83.4% 8.2% Positive

13. Model Name
Hist/Com
Accuracy
Hist/Trag
Acurracy Baseline
Logistic Regression
Classifier
63% 66% 51/48, 61/39
K Nearest
Neighbors
Classifier
52% 52% 51/48, 61/39
Support Vector
Classifier
63% 61% 51/48, 61/39
Random Forest
Classifier
64% 64% 51/48, 61/39

14. Model Name Training Accuracy Testing Accuracy Baseline
Logistic Regression 66% 66% 51/48
3705 (TP) 2771 (FP)
2185 (FN) 4715 (TN)
Confusion Matrix