The five-time tennis Grand Slam champion, has been handed a two-year ban after failing a drugs test at the Australian Open in January. The 29-year-old Russian took meldonium, a commonly-used heart disease drug, for a period of time which overlapped the 1 January 2016 cut-off date, when it was added to the World Anti-Doping Agency’s (Wada) banned list. At an anti-doping hearing in London on Wednesday, Sharapova was informed by the International Tennis Federation (ITF) that she would be banned for two years as meldonium is a metabolic modulator which increases stamina and endurance. ITF statement in full as Sharapova is handed two-year anti-doping ban Sharapova, who won Wimbledon in 2004, has avoided the maximum four-year ban after Wada admitted earlier this year that scientists could not determine how long the drug remained in the user’s system after it had been taken. It is reported that Sharapova will now appeal against the ban, which has been backdated to 26 January 2016, at the Court of Arbitration for Sport.
Query Words: sharapova maria 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.
54.284 distinct tweets
480 distinct Youtube comments
30.865 distinct users (30.425 from Twitter and 440 from YouTube)
33.054 distinct words
01/06/2016 to 30/09/2016
The time frame of the data is 4 months
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.
Most Frequent Hashtags
Contains the most frequent distinct hashtags as extracted from the final data. The table shows the top-10 along with their frequencies.
Most Frequent Users
Contains the most frequent distinct users as extracted from the final data. The table shows the top-10 users along with their frequencies.
Most Frequent Mentions
Contains the most frequent distinct mentions as extracted from the final data. The table shows the top-10 mentions along with their frequencies.