Update README.md

README.md

@@ -15,7 +15,8 @@ datasets:
 - custom
 ---
 
-# PIDIT: Multi-Task BERT + ALBERTO Model for Gender and Ideology Prediction 🇮🇹
+# PIDIT: Political Ideology Detection in Italian Texts
+A Multi-Task BERT + ALBERTO Model for Gender and Ideology Prediction 🇮🇹
 
 This `tf.keras` model combines two pre-trained encoders — `BERT` and `ALBERTO` — to perform multi-task classification on Italian-language texts.  
 It is designed to predict:
@@ -72,7 +73,7 @@ bert_tokenizer = AutoTokenizer.from_pretrained("leeeov4/PIDIT/bert_tokenizer")
 alberto_tokenizer = AutoTokenizer.from_pretrained("leeeov4/PIDIT/alberto_tokenizer")
 ```
 
-## 🧼 Preprocessing Example
+## Preprocessing Example
 
 ```python
 def preprocess_text(text, max_length=250):
@@ -91,7 +92,7 @@ def preprocess_text(text, max_length=250):
 ```
 
 
-## 🧼 Inference
+## Inference
 
 ```python
 text = "Questo è un esempio di testo italiano per testare il modello."