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| -rw-r--r-- | _posts/2019-10-19-using-sentiment-analysis-for-clickbait-detection.md | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/_posts/2019-10-19-using-sentiment-analysis-for-clickbait-detection.md b/_posts/2019-10-19-using-sentiment-analysis-for-clickbait-detection.md index 5aad23c..a1b237b 100644 --- a/_posts/2019-10-19-using-sentiment-analysis-for-clickbait-detection.md +++ b/_posts/2019-10-19-using-sentiment-analysis-for-clickbait-detection.md | |||
| @@ -93,7 +93,7 @@ plt.show() | |||
| 93 | longer period of time and then perform analysis again and use either machine | 93 | longer period of time and then perform analysis again and use either machine |
| 94 | learning or deep learning on top of it. | 94 | learning or deep learning on top of it. |
| 95 | 95 | ||
| 96 |  | 96 | {:loading="lazy"} |
| 97 | 97 | ||
| 98 | Figure above displays difference between title and description sentiment for | 98 | Figure above displays difference between title and description sentiment for |
| 99 | specific RSS feed item. 1 means positive and -1 means negative sentiment. | 99 | specific RSS feed item. 1 means positive and -1 means negative sentiment. |
