diff --git a/nlp/4_7_Exercises.ipynb b/nlp/4_7_Exercises.ipynb
index 46afde5..edfcff8 100644
--- a/nlp/4_7_Exercises.ipynb
+++ b/nlp/4_7_Exercises.ipynb
@@ -58,21 +58,15 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Exercise 1 - Sentiment classification for Twitter"
+    "## Exercise 1 - Sentiment Analysis on Movie Reviews"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "The purpose of this exercise is:\n",
-    "* Collect geolocated tweets\n",
-    "* Analyse their sentiment\n",
-    "* Represent the result in a map, so that one can understand the sentiment in a geographic region.\n",
-    "\n",
-    "The steps (and most of the code) can be found [here](http://pybonacci.org/2015/11/24/como-hacer-analisis-de-sentimiento-en-espanol-2/). \n",
-    "\n",
-    "You can select the tweets in any language."
+    "You can try the exercise Exercise 2: Sentiment Analysis on movie reviews of Scikit-Learn https://scikit-learn.org/stable/tutorial/text_analytics/working_with_text_data.htmlt\n",
+    "* Previously you should follow the installation instructions in the section 'Tutorial Setup'",
    ]
   },
   {