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lectures/Week7.ipynb

@@ -213,7 +213,7 @@
     "\n",
     "> *Exercise 4* Plot the wordclouds\n",
     "> * Get your lists ready for the word-cloud software\n",
-    ">    - The package needs a single string to work on. The way that I converted my lists to a string was to simply combine all words together in one long string (separated by spaces), repeating each word according to its TF-IDF (rounded up to the nearest integer value). \n",
+    ">    - The package needs a single string to work on. The way that I converted my lists to a string was to simply combine all words together in one long string (separated by spaces), repeating each word according to its TC-IDF, which is the Term Count (TF not normalized by len of document) and IDF you previously computed (rounded up to the nearest integer value). \n",
     ">    - The `wordcloud` package looks for collocations in real texts, which is a problem when you make the list as above. The recommended fix is to simply set `collocations = False` as an option when you run the package.\n",
     "> * Now, create a word-cloud for each race. Feel free to make it as fancy or non-fancy as you like. Comment on the results. \n",
     ">\n",