Update README.md
Browse files
README.md
CHANGED
|
@@ -1,3 +1,19 @@
|
|
| 1 |
-
---
|
| 2 |
-
license: apache-2.0
|
| 3 |
-
---
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
---
|
| 4 |
+
|
| 5 |
+
This model is based on the multilingual version of BERT, specifically google-bert/bert-base-multilingual-cased, and has been fine-tuned to classify negative emotions in Spanish tweets.
|
| 6 |
+
|
| 7 |
+
The fine-tuning was performed using a labeled corpus available from the IPN CIC repository https://www.cic.ipn.mx/~sidorov/corpus_marcado6emociones.txt, which contains Spanish tweets annotated with six emotions.
|
| 8 |
+
|
| 9 |
+
For this model, only the four negative emotions defined by Ekman were used:
|
| 10 |
+
|
| 11 |
+
0 → Anger
|
| 12 |
+
|
| 13 |
+
1 → Disgust
|
| 14 |
+
|
| 15 |
+
2 → Fear
|
| 16 |
+
|
| 17 |
+
3 → Sadness
|
| 18 |
+
|
| 19 |
+
The model is designed to support tasks in emotion detection and sentiment analysis in Spanish.
|