diff --git a/Phase 2/utils.py b/Phase 2/utils.py
index 8353072..a3a892f 100644
--- a/Phase 2/utils.py	
+++ b/Phase 2/utils.py	
@@ -878,7 +878,7 @@ def extract_latent_semantics_from_feature_model(
         # singular value decomposition
         # sparse version of SVD to get only k singular values
         case 1:
-            U, S, V_T = svd(feature_vectors, k=k)
+            U, S, V_T = svds(feature_vectors, k=k)
 
             all_latent_semantics = {
                 "image-semantic": U.tolist(),
@@ -1246,4 +1246,4 @@ def compute_cp_decomposition(fd_collection, feature_model, rank):
         data_tensor[id, :, label] = all_images[id][feature_model]
     
     weights_tensor, factor_matrices = tl.decomposition.parafac(data_tensor, rank=rank, normalize_factors=True)
-    return weights_tensor, factor_matrices
+    return weights_tensor, factor_matrices
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