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| author | Mitja Felicijan <mitja.felicijan@gmail.com> | 2021-10-07 21:13:14 +0200 |
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| committer | Mitja Felicijan <mitja.felicijan@gmail.com> | 2021-10-07 21:13:14 +0200 |
| commit | 7f631c493d04ba96e36975365532e2172fec367e (patch) | |
| tree | fc0c0f81901f77f44c572536b7388babaf2d98ee /posts/2019-10-19-using-sentiment-analysis-for-click-bait-detection-in-rss-feeds.md | |
| parent | 994c67d522b413fb3184376955a43d4a4f50d716 (diff) | |
| download | mitjafelicijan.com-7f631c493d04ba96e36975365532e2172fec367e.tar.gz | |
Added dithered images
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| -rw-r--r-- | posts/2019-10-19-using-sentiment-analysis-for-click-bait-detection-in-rss-feeds.md | 2 |
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diff --git a/posts/2019-10-19-using-sentiment-analysis-for-click-bait-detection-in-rss-feeds.md b/posts/2019-10-19-using-sentiment-analysis-for-click-bait-detection-in-rss-feeds.md index c74501a..088b431 100644 --- a/posts/2019-10-19-using-sentiment-analysis-for-click-bait-detection-in-rss-feeds.md +++ b/posts/2019-10-19-using-sentiment-analysis-for-click-bait-detection-in-rss-feeds.md | |||
| @@ -74,7 +74,7 @@ plt.show() | |||
| 74 | 2. Rule-based approach may not be the best way of doing this. By using deep learning we would be able to get better insights. | 74 | 2. Rule-based approach may not be the best way of doing this. By using deep learning we would be able to get better insights. |
| 75 | 3. **Next step would be to** periodically fetch RSS items and store them over a longer period of time and then perform analysis again and use either machine learning or deep learning on top of it. | 75 | 3. **Next step would be to** periodically fetch RSS items and store them over a longer period of time and then perform analysis again and use either machine learning or deep learning on top of it. |
| 76 | 76 | ||
| 77 |  | 77 |  |
| 78 | 78 | ||
| 79 | Figure above displays difference between title and description sentiment for specific RSS feed item. 1 means positive and -1 means negative sentiment. | 79 | Figure above displays difference between title and description sentiment for specific RSS feed item. 1 means positive and -1 means negative sentiment. |
| 80 | 80 | ||