From 82b513bae708dc1a5cba3338603e15f08cc6304f Mon Sep 17 00:00:00 2001 From: Jake Mulford Date: Fri, 13 May 2022 13:07:25 -0400 Subject: [PATCH 1/2] Update README.md --- README.md | 8 ++++++++ 1 file changed, 8 insertions(+) diff --git a/README.md b/README.md index 75f6194..fd72843 100644 --- a/README.md +++ b/README.md @@ -30,3 +30,11 @@ This app pulls RSS data from the specified RSS feeds using Python's [feedparser] When data is pulled, sentiment analysis is performed on attributes of the RSS data and stored in a Deephaven table. Deephaven table operations are then used to further analyze the data. This app shows two examples of sentiment analysis, one using the default analyzer from [NLTK](https://www.nltk.org/), and one using an analyzer trained from NLTK's built in data. The feed and attributes to analyze are customizable, so feel free to use this app to look at any RSS feed! + +## Launch + +To launch the app, run + +``` +sh start.sh +``` From a1d4568bad3b76b24ba1360b7830b14d61951bd5 Mon Sep 17 00:00:00 2001 From: Jake Mulford Date: Fri, 13 May 2022 13:16:01 -0400 Subject: [PATCH 2/2] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index fd72843..e07b8e3 100644 --- a/README.md +++ b/README.md @@ -36,5 +36,5 @@ This app shows two examples of sentiment analysis, one using the default analyze To launch the app, run ``` -sh start.sh +docker-compose up ```