feat: add _classify_from_titles keyword classifier to axis_classifier

tests/test_political_compass.py

@@ -608,3 +608,49 @@ def test_compute_2d_axes_exposes_global_mean(monkeypatch):
     _, axis_def = compute_2d_axes(db_path="dummy", window_ids=["w1"], method="pca")
     assert "global_mean" in axis_def
     assert isinstance(axis_def["global_mean"], np.ndarray)
+
+
+def test_classify_from_titles_left_right():
+    """Titles dominated by left-right keywords  'LinksRechts'."""
+    from analysis.axis_classifier import _classify_from_titles
+
+    titles = [
+        "Motie over asielbeleid",
+        "Motie over minimumloon verhoging",
+        "Motie over vluchtelingen opvang",
+        "Motie over belastingverlaging",
+        "Motie over bijstandsuitkering",
+    ]
+    label, confidence = _classify_from_titles(titles)
+    assert label == "Links\u2013Rechts"
+    assert confidence >= 0.4
+
+
+def test_classify_from_titles_progressive():
+    """Titles dominated by progressive/conservative keywords -> 'ProgressiefConservatief'."""
+    from analysis.axis_classifier import _classify_from_titles
+
+    titles = [
+        "Motie over klimaatdoelstellingen",
+        "Motie over stikstofbeleid",
+        "Motie over duurzame energie",
+        "Motie over co2 uitstoot",
+        "Motie over energietransitie",
+    ]
+    label, confidence = _classify_from_titles(titles)
+    assert label == "Progressief\u2013Conservatief"
+    assert confidence >= 0.4
+
+
+def test_classify_from_titles_low_confidence():
+    """Mixed/irrelevant titles -> None (fallback triggered)."""
+    from analysis.axis_classifier import _classify_from_titles
+
+    titles = [
+        "Motie over sportsubsidie",
+        "Motie over bibliotheekregeling",
+        "Motie over verkeersveiligheid",
+    ]
+    label, confidence = _classify_from_titles(titles)
+    assert label is None
+    assert confidence < 0.4