Meldonium Case

Meldonium (INN), trade-named as Mildronate among others, is a limited-market pharmaceutical, developed in 1970 by Ivars Kalviņš at the USSR Latvia Institute of Organic Synthesis, and now manufactured by the Latvian pharmaceutical company Grindeks and several generic manufacturers. It is primarily distributed in Eastern European countries as an anti-ischemia medication. Since 1 January 2016, it has been on the World Anti-Doping Agency (WADA) list of substances banned from use by athletes.However, there are debates over its use as an athletic performance enhancer. Some athletes are known to have been using it before it was banned. Meldonium may be used to treat coronary artery disease.These heart problems may sometimes lead to ischemia, a condition where too little blood flows to the organs in the body, especially the heart. Because this drug is thought to expand the arteries, it helps to increase the blood flow as well as increase the flow of oxygen throughout the body. Meldonium has also been found to induce anticonvulsant and antihypnotic effects involving alpha 2-adrenergic receptors as well as nitric oxide-dependent mechanisms.

Query Words: meldonium

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

6.332

6.332 distinct tweets

0

0 distinct Youtube comments

4.958

4.958 distinct users

10.473

10.473 distinct words

01/06/2016 to 01/08/2016

The time frame of the data is 2 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 meldonium 6472
2 sharapova 2700
3 maria 1651
4 banned 769
5 positive 630
6 doping 607
7 ban 607
8 years 600
9 drug 593
10 tennis 566

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.

# Hashtag Frequency
1 #Meldonium 811
2 #Sharapova 472
3 #MariaSharapova 343
4 #doping 106
5 #tennis 103
6 #Doping 50
7 #Rio2016 38
8 #WTA 37
9 #ITF 36
10 #WADA 32

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.

# User Frequency
1 @adrianaeloca 86
2 @l5iza 47
3 @arzillion 26
4 @LawInSport 24
5 @alexielsi 23
6 @tekno1radio 23
7 @shivanui 22
8 @TennisActu 17
9 @Sport_Integrity 16
10 @lluciz 15

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.

# Mention Frequency
1 @MariaSharapova 140
2 @ITF_Tennis 41
3 @wada_ama 38
4 @cnnsport 36
5 @MailSport 19
6 @USATODAY 18
7 @usantidoping 17
8 @NewsRepublic 14
9 @Nike 12
10 @WTA 11