TY  - BOOK
AU  - Reshma G R (92216019)
TI  - Computational analysis of sports team
KW  - SOCIAL MEDIA
KW  - SPORTS TEAM
KW  - MARKETING
N1  - The purpose of this project is to evaluate how to sponsor a sports team by analyzing the social
media profiles of teams and players. This approach is carried out through an in-depth analysis on
sports marketing and the rising popularity of social media marketing for sports brands in the
world. The initial data is collected for the algorithm comprises of sports team's tweets, Facebook
posts, website metrics, TV viewership metrics, demographic distribution, gender distribution,
age group distribution and keyword metrics. The tweet bots crawls and gathers information such
as tweets, number of shares for the tweets and number of retweets from twitter for all available
tweets and saves in the database along with the above mentioned metrics. The Facebook crawlers
gather all information such as shares, comments, likes of posts and emotions such as love, angry,
like, sad, laugh and saves in the database. Demographic distribution is the metric which shows
which country follows the team's social media. This provides us valuable information on how a
brand is valued across the world. Age group distribution shows what type of people follows the
brand. This metric is particularly useful in giving weightage to the TV or social media metrics of
the team. Gender distribution is another metric which helps to identify which gender is following
the particular brand. Keyword metrics which consists of popular keywords people search for the
team. We track these metrics and gathers information on the search from various sources.
Generated algorithms for the calculation of index, this index tells the sponsor that which team to
be sponsored based on their reach.
ER  -