From 7e284627c7871588284bc1953b67f74084022c0f Mon Sep 17 00:00:00 2001 From: Semar Augusto Date: Fri, 17 Jan 2020 12:43:38 -0300 Subject: [PATCH] Fix typo --- 2.2-topic-modeling/Latent_dirichlet_allocation.ipynb | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/2.2-topic-modeling/Latent_dirichlet_allocation.ipynb b/2.2-topic-modeling/Latent_dirichlet_allocation.ipynb index d32532e..64289ed 100644 --- a/2.2-topic-modeling/Latent_dirichlet_allocation.ipynb +++ b/2.2-topic-modeling/Latent_dirichlet_allocation.ipynb @@ -379,7 +379,7 @@ "source": [ "## Step 3.2: TF-IDF on our document set ##\n", "\n", - "While performing TF-IDF on the corpus is not necessary for LDA implemention using the gensim model, it is recemmended. TF-IDF expects a bag-of-words (integer values) training corpus during initialization. During transformation, it will take a vector and return another vector of the same dimensionality.\n", + "While performing TF-IDF on the corpus is not necessary for LDA implemention using the gensim model, it is recommended. TF-IDF expects a bag-of-words (integer values) training corpus during initialization. During transformation, it will take a vector and return another vector of the same dimensionality.\n", "\n", "*Please note: The author of Gensim dictates the standard procedure for LDA to be using the Bag of Words model.*" ] @@ -728,7 +728,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.1" + "version": "3.7.3" } }, "nbformat": 4,