General Case
This first case is used to examine the Social Media presence of the "Sports Doping" topic, understand the crowd that is engaged with the topic and determine some basic set of words and hashtags that are frequently used in such posts. The query for this case was consisted of plain words, without studying any specific event.
Query Words: doping
Tweets per Month
Contains the count of tweets submitted every month during the researching period.
Sentiment per Month
Contains information about the scores of six basic sentiments (Anger, Disgust, Fear, Joy, Sadness & Surprise), on each month.
Infobox
47.432
47.432 distinct tweets
28.585
28.585 distinct users
48.871
48.871 distinct words
01/12/2016 to 30/05/2017
The time frame of the data is 6 months
Sentiment: Fear
The overall score of our sentiment analysis indicated the main sentiment of the users was Fear.
Most Frequent Words
Contains the most frequent distinct words as extracted from the final data. The table shows the top-10 words along with their frequencies.
| # | Word | Frequency |
|---|---|---|
| 1 | doping | 48442 |
| 2 | anti | 8976 |
| 3 | russia | 7132 |
| 4 | sport | 4995 |
| 5 | 4526 | |
| 6 | ban | 3274 |
| 7 | sharapova | 2404 |
| 8 | athletes | 2028 |
| 9 | olympic | 1697 |
| 10 | news | 1461 |
Most Frequent Hashtags
Contains the most frequent distinct hashtags as extracted from the final data. The table shows the top-10 hashtags along with their frequencies.
| # | Hashtag | Frequency |
|---|---|---|
| 1 | #doping | 2339 |
| 2 | #Doping | 593 |
| 3 | #Russia | 500 |
| 4 | #news | 315 |
| 5 | #Sport | 179 |
| 6 | #WADA | 167 |
| 7 | #039 | 166 |
| 8 | #Sharapova | 166 |
| 9 | #cycling | 161 |
| 10 | #sports | 160 |
Most Frequent Users
Contains the most frequent Twitter users as extracted from the final data. The table shows the top-10 users along with their frequencies.
| # | User | Frequency |
|---|---|---|
| 1 | @Tupashe | 581 |
| 2 | @m1ll1onaireman | 228 |
| 3 | @Contrast_Doping | 226 |
| 4 | @Dopinglist | 158 |
| 5 | @ringsau | 149 |
| 6 | @PNS_SportNews | 145 |
| 7 | @DopingReport | 124 |
| 8 | @MeldoniumRussia | 124 |
| 9 | @Rus_Eng_News | 121 |
| 10 | @insidethegames | 107 |
Most Frequent Mentions
Contains the most frequent Twitter mentions as extracted from the final data. The table shows the top-10 mentions along with their frequencies.
| # | Mention | Frequency |
|---|---|---|
| 1 | @wada_ama | 220 |
| 2 | @YouTube | 218 |
| 3 | @MariaSharapova | 129 |
| 4 | @anti_doping | 102 |
| 5 | @c0nvey | 68 |
| 6 | @MichaelPhelps | 62 |
| 7 | @BBCSport | 54 |
| 8 | @iaaforg | 53 |
| 9 | @nytimes | 50 |
| 10 | @ukantidoping | 50 |