Development of a Dashboard for Sentiment Analysis of Football in Twitter based on Web Components and D3.js

This thesis is the result of a project whose objective has been to develop and deploy a dashboard for sentiment analysis of football in Twitter based on web components and D3.js. To do so, a visualisation server has been developed in order to present the data obtained from Twitter and analysed with Senpy. This visualisation server has been developed with Polymer web components and D3.js. Data mining has been done with a pipeline between Twitter, Senpy and ElasticSearch. Luigi have been used in this process because helps building complex pipelines of batch jobs, so it has analysed all tweets and stored them in ElasticSearch. To continue, D3.js has been used to create interactive widgets that make data easily accessible, this widgets will allow the user to interact with them and �filter the most interesting data for him. Polymer web components have been used to make this dashboard according to Google's material design and be able to show dynamic data in widgets. As a result, this project will allow an extensive analysis of the social network, pointing out the influence of players and teams and the emotions and sentiments that emerge in a lapse of time.

Place but not Date of Birth Influences the Development and Emergence of Athletic Talent in American Football

The purpose of this study was to examine the birthplace and relative age effects in National Football League (NFL) players. The place and date of birth of NFL players in the United States were analyzed with Monte Carlo simulations to determine if either factor was predictive of the probability of reaching the elite level in this sport. Consistent with previous findings on professional North American athletes in baseball, ice hockey, basketball, and golf, players born in cities with populations of less than 500,000 were significantly over-represented in the NFL, whereas players born in cities with populations over 500,000 were significantly under-represented. Unlike many other sports, no relative age effects were found for the NFL. Small cities, in particular, appeared to possess characteristics that facilitate the development and/or emergence of athletic talent in American football. Possible psychosocial factors mediating the birthplace effect are discussed as are implications for the development of sporting expertise.

Three types of transnational players: differing women's football mobility projects in core and developing countries

Mobile players in men's football are highly skilled professionals who move to a country other than the one where they grew up and started their careers. They are commonly described as migrants or expatriate players. Due to a much less advanced stage of professionalism and production of the game in women's football mobility projects are different. At describing the cases of Brazil, Equatorial Guinea, Mexico, Colombia and Portugal, the aim of this paper is to conceptualise an umbrella category for mobile players that can include current realities in the women's game, namely the transnational player who has gained and displays transnational football experience in different countries and socio-culturally contexts. Furthermore, analyses allow introducing two new subcategories besides the “expatriate”, namely diaspora players and new citizens.

1883 University of Michigan Football Team

1884 University of Michigan Football Team

1887 University of Michigan Football Team

1888 University of Michigan Football Team

1889 University of Michigan Football Team

1890 University of Michigan Football Team

1891 University of Michigan Football Team