From 7a7bd82224f5332ae6c60bae21e2b1f89daab2f9 Mon Sep 17 00:00:00 2001
From: ogunbanwo opeyemi <58431589+papycoda@users.noreply.github.com>
Date: Sat, 1 Jan 2022 14:27:15 +0100
Subject: [PATCH] Update NLP for Text Classification (Jupyter Notebook).ipynb

edited the print (key), and passed the set of stopped words into a list to fix syntax errors and attribute has no len function errors respectively
---
 NLP for Text Classification (Jupyter Notebook).ipynb | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/NLP for Text Classification (Jupyter Notebook).ipynb b/NLP for Text Classification (Jupyter Notebook).ipynb
index 2f8b3de..b7d1d37 100644
--- a/NLP for Text Classification (Jupyter Notebook).ipynb	
+++ b/NLP for Text Classification (Jupyter Notebook).ipynb	
@@ -352,9 +352,9 @@
    "source": [
     "from nltk.corpus import stopwords\n",
     "\n",
-    "# remove stop words from text messages\n",
+    "# remove stop words from text messages,and passed result into a list\n",
     "\n",
-    "stop_words = set(stopwords.words('english'))\n",
+    "stop_words = list(set(stopwords.words('english')))\n", 
     "\n",
     "processed = processed.apply(lambda x: ' '.join(\n",
     "    term for term in x.split() if term not in stop_words))"
@@ -461,7 +461,7 @@
     "features = find_features(processed[0])\n",
     "for key, value in features.items():\n",
     "    if value == True:\n",
-    "        print key"
+    "        print (key)"
    ]
   },
   {
@@ -546,7 +546,7 @@
     "# train the model on the training data\n",
     "model.train(training)\n",
     "\n",
-    "# and test on the testing dataset!\n",
+    "# and test on the testing dataset!(warning, this might take some time,so go make yourself a good meal, you desereve it)\n",
     "accuracy = nltk.classify.accuracy(model, testing)*100\n",
     "print(\"SVC Accuracy: {}\".format(accuracy))"
    ]