From 22f5ac8fcec4dbfcc1f5033f18bc4eeca52a747d Mon Sep 17 00:00:00 2001 From: Mitja Felicijan Date: Tue, 31 Oct 2023 08:20:22 +0100 Subject: Made the side more retro! --- ...nalysis-for-clickbait-detection-in-rss-feeds.html | 20 +++++++++++--------- 1 file changed, 11 insertions(+), 9 deletions(-) (limited to 'public/using-sentiment-analysis-for-clickbait-detection-in-rss-feeds.html') diff --git a/public/using-sentiment-analysis-for-clickbait-detection-in-rss-feeds.html b/public/using-sentiment-analysis-for-clickbait-detection-in-rss-feeds.html index b313f88..4e2ef93 100755 --- a/public/using-sentiment-analysis-for-clickbait-detection-in-rss-feeds.html +++ b/public/using-sentiment-analysis-for-clickbait-detection-in-rss-feeds.html @@ -1,9 +1,12 @@ -Using sentiment analysis for clickbait detection in RSS feeds

Using sentiment analysis for clickbait detection in RSS feeds

post, Oct 19, 2019 on Mitja Felicijan's blog

Initial thoughts

One of the things that interested me for a while now is if major well established news sites use click bait titles to drive additional traffic to their sites and generate additional impressions.

Goal is to see how article titles and actual content of article differ from each other and see if titles are clickbaited.

Preparing and cleaning data

For this example I opted to just use RSS feed from a new website and decided to @@ -79,8 +82,7 @@ In this article, I describe my goals, which hardware I picked for my new build ( Design Goals I use my netw…

Generated with openring.

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