The Lance Armstrong doping case was a doping investigation that led to American former professional road racing cyclist Lance Armstrong being stripped of his seven Tour de France titles and his eventual admission to the doping. For much of his career, Lance Armstrong faced persistent allegations of doping, but until 2006 no official investigation was undertaken. The first break in the case came in 2004, when SCA Promotions, a Dallas-based insurer, balked at paying a $5 million bonus to Armstrong for winning his sixth consecutive Tour. SCA president Bob Hamman had read L.A. Confidentiel, a book by cycling journalists Pierre Ballester and David Walsh which detailed circumstantial evidence of massive doping by Armstrong and members of his U.S. Postal Service Pro Cycling Team. In 2006, an arbitration panel ruled that SCA had to pay. However, Hamman's real goal was to force an investigation by sporting authorities. He believed that if someone in a position to investigate the matter found that Armstrong had indeed doped, he could be stripped of his Tour victories--allowing SCA to get its money back. His hunch proved correct; officials from the United States Anti-Doping Agency (USADA) asked to review the evidence Hamman had gleaned.
Query Words: lance armstrong 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.
48.676 distinct tweets
1.434 distinct Youtube comments
37.836 distinct users (37.202 from Twitter and 634 from YouTube)
32.040 distinct words
24/01/2013 to 28/02/2013
The time frame of the data is 1 month and 4 days
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. The table shows the top-10 words along with their frequencies.
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.
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.
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.