Substances Case
Performance-enhancing substances, also known as performance-enhancing drugs (PED), are substances that are used to improve any form of activity performance in humans. A well-known example involves doping in sport, where banned physical performance–enhancing drugs are used by athletes and bodybuilders. Athletic performance-enhancing substances are sometimes referred to as ergogenic aids. Cognitive performance-enhancing drugs, commonly called nootropics, are sometimes used by students to improve academic performance. Performance-enhancing substances are also used by military personnel to enhance combat performance.
Query Words: Substances Doping
Tweets per Day
Contains the count of tweets submitted every day 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
12.932
12.932 distinct tweets
5.950
5.950 distinct users
16.343
16.343 distinct words
16/05/2016 to 15/05/2017
The time frame of the data is 12 months
Sentiment: Anger
The overall score of our sentiment analysis indicated the main sentiment of the users was Anger.
Most Frequent Words
Contains the most frequent distinct words as extracted from the final data during the researching period.
| # | Word | Frequency |
|---|---|---|
| 1 | igf | 4095 |
| 2 | anavar | 1766 |
| 3 | trenbolone | 1718 |
| 4 | 1057 | |
| 5 | anadrol | 1001 |
| 6 | testosterone | 721 |
| 7 | growth | 689 |
| 8 | muscle | 670 |
| 9 | ghrp | 569 |
| 10 | hormone | 538 |
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 | #IGF | 249 |
| 2 | #BodyBuilding | 209 |
| 3 | #trenbolone | 154 |
| 4 | #steroids | 140 |
| 5 | #Muscle | 119 |
| 6 | #Forum | 116 |
| 7 | #Gainz | 110 |
| 8 | #diet | 70 |
| 9 | #testosterone | 69 |
| 10 | #anavar | 64 |
Most Frequent Users
Contains the most frequent distinct Twitter users as extracted from the final data. The table shows the top-10 users along with their frequencies.
| # | User | Frequency |
|---|---|---|
| 1 | @anadrol_online | 637 |
| 2 | @crazybulkweb | 277 |
| 3 | @milknegativity | 236 |
| 4 | @ClenCycle | 226 |
| 5 | @BodyBuildTweets | 116 |
| 6 | @frophoun1 | 108 |
| 7 | @MuscleChem | 88 |
| 8 | @tohicareinfo | 76 |
| 9 | @PeptidesUse | 70 |
| 10 | @okbiotech | 68 |
Most Frequent Mentions
Contains the most frequent distinct Twitter mentions as extracted from the final data. The table shows the top-10 mentions along with their frequencies.
| # | Mention | Frequency |
|---|---|---|
| 1 | @YouTube | 412 |
| 2 | @eBay | 292 |
| 3 | @yotpo | 63 |
| 4 | 39 | |
| 5 | @wordpressdotcom | 34 |
| 6 | @landmarkchem | 19 |
| 7 | @enhancedathlete | 19 |
| 8 | @anadrol_online | 18 |
| 9 | @gmail | 14 |
| 10 | @ok | 14 |
Substances Connections
Presents the connections between different substances. Bigger circles indicate more common substances, while thicker lines indicate stronger connection.
