From f17f05ace97acfa46b0b6a9a4c7f28fa066908b1 Mon Sep 17 00:00:00 2001 From: Abhinav Sharma <63901956+abhi-bhatra@users.noreply.github.com> Date: Thu, 29 Jul 2021 07:48:06 +0530 Subject: [PATCH] Update README.md Fix link to Jupyter-notebook --- 6-NLP/5-Hotel-Reviews-2/README.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/6-NLP/5-Hotel-Reviews-2/README.md b/6-NLP/5-Hotel-Reviews-2/README.md index 7d8a4d03..12b9a15a 100644 --- a/6-NLP/5-Hotel-Reviews-2/README.md +++ b/6-NLP/5-Hotel-Reviews-2/README.md @@ -347,13 +347,13 @@ print("Saving results to Hotel_Reviews_NLP.csv") df.to_csv(r"../data/Hotel_Reviews_NLP.csv", index = False) ``` -You should run the entire code for [the analysis notebook](solution/notebook-sentiment-analysis.ipynb) (after you've run [your filtering notebook](solution/notebook-filtering.ipynb) to generate the Hotel_Reviews_Filtered.csv file). +You should run the entire code for [the analysis notebook](solution/3-notebook.ipynb) (after you've run [your filtering notebook](solution/1-notebook.ipynb) to generate the Hotel_Reviews_Filtered.csv file). To review, the steps are: -1. Original dataset file **Hotel_Reviews.csv** is explored in the previous lesson with [the explorer notebook](../4-Hotel-Reviews-1/solution/notebook-explorer.ipynb) -2. Hotel_Reviews.csv is filtered by [the filtering notebook](solution/notebook-filtering.ipynb) resulting in **Hotel_Reviews_Filtered.csv** -3. Hotel_Reviews_Filtered.csv is processed by [the sentiment analysis notebook](solution/notebook-sentiment-analysis.ipynb) resulting in **Hotel_Reviews_NLP.csv** +1. Original dataset file **Hotel_Reviews.csv** is explored in the previous lesson with [the explorer notebook](../4-Hotel-Reviews-1/solution/notebook.ipynb) +2. Hotel_Reviews.csv is filtered by [the filtering notebook](solution/1-notebook.ipynb) resulting in **Hotel_Reviews_Filtered.csv** +3. Hotel_Reviews_Filtered.csv is processed by [the sentiment analysis notebook](solution/3-notebook.ipynb) resulting in **Hotel_Reviews_NLP.csv** 4. Use Hotel_Reviews_NLP.csv in the NLP Challenge below ### Conclusion