SinclairSchneider
/

german_politic_direction_DeBERTa-large

@@ -19,175 +19,6 @@ Precision: 0.79
 Recall: 0.74
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 **BibTeX:**
 @misc {schneider2024GerPolClass,
@@ -200,24 +31,61 @@ Carbon emissions can be estimated using the [Machine Learning Impact calculator]
     note         = { DeBERTa transformer model }
 }
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 Recall: 0.74
 **BibTeX:**
 @misc {schneider2024GerPolClass,
     note         = { DeBERTa transformer model }
 }
+# Ideology Prediction of German Political Texts based on DeBERTa-large (highly experimental)
+Predicts the ideology of German texts on a scale from -1 (left-wing) over 0 (liberal) to 1 (right wing)
+Simple example
+```python
+from transformers import pipeline, DebertaV2ForSequenceClassification, AutoTokenizer
+import numpy as np
+import pandas as pd
+import torch
+model_name = "SinclairSchneider/german_politic_direction_DeBERTa-large"
+model = DebertaV2ForSequenceClassification.from_pretrained(model_name, dtype=torch.bfloat16)
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+pipe = pipeline("text-classification", model=model, tokenizer=tokenizer, top_k=None)
+vectors = np.array([[-1, 0],
+                    [-9.99193435e-01,  4.01556900e-02],
+                    [-9.18323655e-01,  3.95830349e-01],
+                    [ 3.82683432e-01,  9.23879533e-01],
+                    [ 8.69790824e-01,  4.93420634e-01],
+                    [1, 0]])
+def classify(text):
+    classification_result = np.array(pd.DataFrame(pipe(text)[0]).sort_values(by=['label'], key=lambda x: x.map({'DIE LINKE':0,
+                                                                                                                'BÜNDNIS 90/DIE GRÜNEN':1,
+                                                                                                                'SPD':2,
+                                                                                                                'FDP':3,
+                                                                                                                'CDU/CSU':4,
+                                                                                                                'AfD':5}))['score'])
+    return float(np.arctan2(*classification_result@vectors)/(np.pi/2))
+#Links
+print(classify("Wir brauchen eine Vermögensteuer, um den Sozialstaat nachhaltig zu finanzieren."))
+#-0.8840736055794486
+print(classify("Mietendeckel und mehr gemeinnütziger Wohnungsbau sollen Wohnen bezahlbar machen."))
+#-0.9584728540548622
+print(classify("Die Energiewende muss mit massiven öffentlichen Investitionen beschleunigt werden."))
+#-0.8996415250285207
+#Mitte
+print(classify("Die soziale Marktwirtschaft braucht moderne Regeln und weniger Bürokratie."))
+#0.2951027133966755
+print(classify("Gezielte Entlastungen für kleine und mittlere Einkommen stärken die Mitte."))
+#-0.5463382000342903
+print(classify("Bildungsoffensive: Basiskompetenzen sichern, Weiterbildung im Beruf fördern."))
+#0.16923175427437903
+#Rechts
+print(classify("Deutsche Leitkultur und Sprache stärker in öffentlichen Einrichtungen betonen."))
+#0.9907646874287308
+print(classify("Grenzschutz an EU-Außengrenzen verstärken, Sekundärmigration begrenzen."))
+#0.7533596283240895
+print(classify("Identitätspolitik an Schulen und Behörden zurückfahren, Fokus auf Leistungsprinzip."))
+#0.9748775694774731
+```