(5) Use N-Grams with dep. parsing features

b2228e32 · Almouhannad Hafez · 28e67496 · b2228e32 · b2228e32 · b2228e32
Commit b2228e32 authored Nov 22, 2024 by Almouhannad Hafez
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5.1.Dep_parsing_classifier.ipynb 5/5.1.Dep_parsing_classifier.ipynb +936 -768

README.md README.md +1 -0

Results.xlsx Results.xlsx +0 -0

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--- a/5/5.1.Dep_parsing_classifier.ipynb
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--- a/README.md
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@@ -124,6 +124,7 @@
 | Text + (2,4)Gram                                   | 0.9975          | 0.9375         | 6.0           | 0.9366                  | 0.9334               | 0.9311                 | alpha=0.01, 16600features |
 | Stanza Dep. Relation tuples                        | 0.9995          | 0.9521         | 4.7           | 0.9513                  | 0.9503               | 0.9484                 | alpha=0.01, 8000features  |
 | Stanza Dep.Relation+POS Relations+Headwords tuples | 0.9986          | 0.9479         | 5.1           | 0.9481                  | 0.9471               | 0.9440                 | alpha=0.01, 7500features  |
+| Stanza Dep. Relation tuples + (1,3) Grams          | 1.0000          | 0.9750         | 2.5           | 0.9758                  | 0.9747               | 0.9734                 | alpha=0.01, 66000features |
 ---
 > ***Applied features selection and model's hyperparameters tuning*** 

--- a/Results.xlsx
+++ b/Results.xlsx