diff --git a/data-computer/v1/lda.py b/data-computer/v1/lda.py
index 213be00..0e99a1b 100755
--- a/data-computer/v1/lda.py
+++ b/data-computer/v1/lda.py
@@ -44,7 +44,7 @@
         return ["n/a"]
     return tokens
 
-## Max topic
+# Max topic
 def max_topic(dico):
     best_topic = {}
     best_proba = 0
@@ -55,6 +55,24 @@
             best_topic = topic
     return {best_topic:dico[best_topic]}
 
+# # Max coherence
+# For a corpus, return the optimal number of topic
+# def how_many_topics(corpus,dictionary,texts):
+#     best_t = 2
+#     best_coherence = 0
+#     for t in range(3, 21):
+#         lda_model = models.LdaModel(corpus, id2word=dictionary, num_topics=t,iterations=200,alpha="symmetric", eta = "auto",minimum_probability=0.1)
+#         corpus_lda = lda_model[corpus]
+
+#         cm = models.coherencemodel.CoherenceModel(model=lda_model, texts=texts, corpus=corpus_lda, coherence='c_v')
+#         coherence = cm.get_coherence()
+#         print(t,coherence)
+#         if coherence > best_coherence:
+#             best_t = t
+#             best_coherence = coherence
+#     return best_t
+
+
 # WS
 # Datas
 all_data = []