Emotion Intensities in Tweets
Table 3: The impact of removal of emotion word hashtags on the emotion intensities of tweets.
['[BOLD] Emotion', '[BOLD] No. of HQT–NQT  [BOLD] Tweet Pairs', '[BOLD] % Tweets Pairs Drop', '[BOLD] % Tweets Pairs Rise', '[BOLD] % Tweets Pairs None', '[BOLD] Average Emotion Intensity Score HQT tweets', '[BOLD] Average Emotion Intensity Score NQT tweets', '[BOLD] Average Emotion Intensity Score Drop', '[BOLD] Average Emotion Intensity Score Rise']
We analyzed the scores in our dataset to create scatter plots where each point corresponds to a HQT–NQT tweet pair, the x-axis is the emotion intensity score of the HQT tweet, and the y-axis is the score of the NQT tweet. We observe that in a majority of the cases, the points are on the lower-right side of the diagonal, indicating that the removal of the emotion word hashtag causes the emotion intensity of the tweet to drop. However, we do see a number of points on the upper-left side of the diagonal (indicating a rise), and some exactly on the diagonal (indicating no impact), due to the removal of a hashtag. Also observe that the removal of a hashtag can result in a drop in emotion scores for some tweets, but a rise for others (e.g., see the three labeled points for #nervous in the plot). We observe a similar pattern for other emotions as well (plots not shown here).