Given the recent trend in Data Science (DS) and Sports Analytics, an opportunity has arisen
for utilizing Machine Learning (ML) and Data Mining (DM) techniques in sports. This paper …

The increase in the volume of structured and unstructured data related to more than just
sport events leads to the development and increased use of techniques that extract …

Cricket has become a famous team game around the globe, and it is considered the world's
second most popular sport (Pathak and Wadhwa, 2016). The plethora of available cricket …

The purpose of this study is to conduct a bibliometric analysis to examine the most influential
journals, institutions, and countries in social media (SM) publications related to knowledge …

In literature, there is a shortage of comprehensive documents that can provide proper details
about Twitter in research community. This study conducted a first descriptive bibliometric …

This work addresses the declining physical fitness levels observed in both football players
and the general population. The objective is to investigate the impact of functional strength …

This study aimed to (1) use the clustering method to build a classification model based on
the play-type data of basketball players, to classify native and foreign players into different …

The content generation strategy of a sports franchise determines whether the user
engagement increases or decreases on social media platforms. Thus, the role of Chief …

Applying opinion mining or sentiment analysis techniques on big online data for extracting
useful information on any event or topic is gaining more and more interest with growing …

This paper offers a systematic review of research in the emerging field of sport analytics,
which is receiving increasing attention in practice and research circles. The purpose of this …