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| author | Mitja Felicijan <mitja.felicijan@gmail.com> | 2022-08-28 05:39:44 +0200 |
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| committer | Mitja Felicijan <mitja.felicijan@gmail.com> | 2022-08-28 05:39:44 +0200 |
| commit | 70baaeb4e78d12c329a03e929fd30d41730ed2b1 (patch) | |
| tree | 74e0b2998455894762b6910ef4008d43f5dc9366 /content/posts/2019-10-19-using-sentiment-analysis-for-clickbait-detection.md | |
| parent | b1d9aefd2a9fa0074f8d18fa2410cdd53d4c8de6 (diff) | |
| download | mitjafelicijan.com-70baaeb4e78d12c329a03e929fd30d41730ed2b1.tar.gz | |
Moved statis assets and converted all CSS to Tailwind
Diffstat (limited to 'content/posts/2019-10-19-using-sentiment-analysis-for-clickbait-detection.md')
| -rw-r--r-- | content/posts/2019-10-19-using-sentiment-analysis-for-clickbait-detection.md | 4 |
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 0f5d994..30b0fd4 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 | |||
| @@ -72,11 +72,11 @@ plt.show() | |||
| 72 | 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. | 72 | 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. |
| 73 | 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. | 73 | 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. |
| 74 | 74 | ||
| 75 |  | 75 |  |
| 76 | 76 | ||
| 77 | Figure above displays difference between title and description sentiment for specific RSS feed item. 1 means positive and -1 means negative sentiment. | 77 | Figure above displays difference between title and description sentiment for specific RSS feed item. 1 means positive and -1 means negative sentiment. |
| 78 | 78 | ||
| 79 | [» Download Jupyter Notebook](/sentiment-analysis/sentiment-analysis.ipynb) | 79 | [» Download Jupyter Notebook](/assets/sentiment-analysis/sentiment-analysis.ipynb) |
| 80 | 80 | ||
| 81 | ## Going further | 81 | ## Going further |
| 82 | 82 | ||