1 files changed, 2 insertions, 2 deletions
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

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()
92	longer period of time and then perform analysis again and use either machine	92	longer period of time and then perform analysis again and use either machine
93	learning or deep learning on top of it.	93	learning or deep learning on top of it.
94		94
95	![Relationship between title and description](/assets/sentiment-analysis/guardian-sa-title-desc-relationship.png)	95	![Relationship between title and description](/posts/sentiment-analysis/guardian-sa-title-desc-relationship.png)
96		96
97	Figure above displays difference between title and description sentiment for	97	Figure above displays difference between title and description sentiment for
98	specific RSS feed item. 1 means positive and -1 means negative sentiment.	98	specific RSS feed item. 1 means positive and -1 means negative sentiment.
99		99
100	[» Download Jupyter Notebook](/assets/sentiment-analysis/sentiment-analysis.ipynb)	100	[» Download Jupyter Notebook](/posts/sentiment-analysis/sentiment-analysis.ipynb)
101		101
102	## Going further	102	## Going further
103		103