From 2f5ea5f4982d6276881c9a3342ed8847ebc7d326 Mon Sep 17 00:00:00 2001 From: Mitja Felicijan Date: Sat, 5 Aug 2023 12:09:37 +0200 Subject: Moved assets to posts --- .../2019-10-19-using-sentiment-analysis-for-clickbait-detection.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) (limited to 'content/posts/2019-10-19-using-sentiment-analysis-for-clickbait-detection.md') diff --git a/content/posts/2019-10-19-using-sentiment-analysis-for-clickbait-detection.md b/content/posts/2019-10-19-using-sentiment-analysis-for-clickbait-detection.md index 8322e70..d5729ed 100644 --- a/content/posts/2019-10-19-using-sentiment-analysis-for-clickbait-detection.md +++ b/content/posts/2019-10-19-using-sentiment-analysis-for-clickbait-detection.md @@ -92,12 +92,12 @@ plt.show() longer period of time and then perform analysis again and use either machine learning or deep learning on top of it. -![Relationship between title and description](/assets/sentiment-analysis/guardian-sa-title-desc-relationship.png) +![Relationship between title and description](/posts/sentiment-analysis/guardian-sa-title-desc-relationship.png) Figure above displays difference between title and description sentiment for specific RSS feed item. 1 means positive and -1 means negative sentiment. -[» Download Jupyter Notebook](/assets/sentiment-analysis/sentiment-analysis.ipynb) +[» Download Jupyter Notebook](/posts/sentiment-analysis/sentiment-analysis.ipynb) ## Going further -- cgit v1.2.3