do not include words that never occur in the corpus

Author: rbroc

turftopic/models/keynmf.py

@@ -125,11 +125,12 @@ def extract_keywords(
             embedding = embeddings[i].reshape(1, -1)
             if self.keyword_scope == 'document':
                 mask = terms > 0
-                if not np.any(mask):
-                    keywords.append(dict())
-                    continue
             else:
-                mask = np.ones(shape=terms.shape, dtype=bool)
+                tot_freq = document_term_matrix.sum(axis=0)
+                mask = tot_freq != 0
+            if not np.any(mask):
+                keywords.append(dict())
+                continue
             important_terms = np.squeeze(np.asarray(mask))
             word_embeddings = self.vocab_embeddings[important_terms]
             sim = cosine_similarity(embedding, word_embeddings)
@@ -284,7 +285,7 @@ def prepare_topic_data(
             except (NotFittedError, AttributeError):
                 doc_topic_matrix = self.nmf_.fit_transform(dtm)
                 self.components_ = self.nmf_.components_
-            console.log("Model fiting done.")
+            console.log("Model fitting done.")
         res: TopicData = {
             "corpus": corpus,
             "document_term_matrix": dtm,