Towards Commentary-Driven Soccer Player Analytics

Open information extraction (open IE) has been shown to be useful in a number of NLP Tasks, such as question answering, relation extraction, and information retrieval. Soccer is the most watched sport in the world. The dynamic nature of the game corresponds to the team strategy and individual contribution, which are the deciding factors for a team’s success. Generally, companies collect sports event data manually and very rarely they allow free-access to these data by third parties. However, a large amount of data is available freely on various social media platforms where different types of users discuss these very events. To rely on expert data, we are currently using the live-match commentary as our rich and unexplored data-source. Our aim out of this commentary analysis is to initially extract key events from each game and eventually key entities like players involved, player action and other player related attributes from these key events. We propose an end-to-end application to extract commentaries and extract player attributes from it. The study will primarily depend on an extensive crowd labelling of data involving precautionary periodical checks to prevent incorrectly tagged data. This research will contribute significantly towards analysis of commentary and acts as a cheap tool providing player performance analysis for smaller to intermediate budget soccer club

Towards Commentary-Driven Soccer Player Analytics

Open information extraction (open IE) has been shown to be useful in a number of NLP Tasks, such as question answering, relation extraction, and information retrieval. Soccer is the most watched sport in the world. The dynamic nature of the game corresponds to the team strategy and individual contribution, which are the deciding factors for a team’s success. Generally, companies collect sports event data manually and very rarely they allow free-access to these data by third parties. However, a large amount of data is available freely on various social media platforms where different types of users discuss these very events. To rely on expert data, we are currently using the live-match commentary as our rich and unexplored data-source. Our aim out of this commentary analysis is to initially extract key events from each game and eventually key entities like players involved, player action and other player related attributes from these key events. We propose an end-to-end application to extract commentaries and extract player attributes from it. The study will primarily depend on an extensive crowd labelling of data involving precautionary periodical checks to prevent incorrectly tagged data. This research will contribute significantly towards analysis of commentary and acts as a cheap tool providing player performance analysis for smaller to intermediate budget soccer club

A facile synthesis and characterization of some novel benzimidazole derivatives

We successfully synthesized a series of novel benzimidazole derivatives with high yields in our current research study. The synthesis procedure involved condensing Ethyl 3-[[3-amino-4-(treiethylamino) benzoyl] (pyridine-5-yl) amino]-propanoate with various aromatic carboxylic acids, using EDC.HCl and a small amount of DMAP as catalysts. The resulting compounds underwent cyclization through coupling in the presence of acetic acid under reflux conditions. Notably, both the coupling and cyclization reactions were efficiently achieved, with the former occurring at room temperature and the latter at reflux temperature. Our synthesis method is both environmentally friendly and cost-effective. To characterize the synthesized compounds, we employed modern spectroscopic techniques such as FT-IR, 1H NMR, 13C NMR, and mass spectrometry. The compound 4i shown the most potent in vitro anticancer activity. The compound 4e and 4f were also found to have good in vitro anticancer activity compared to other synthesized compounds. The result of in vitro anticancer activity says that the combination of pyridine, benzimidazole and thiophene ring best apposite for the development of novel anticancer agent. The other derivatives have also shown good activity such as compounds 4b, 4c, 4 h and 4j with electron withdrawing group on phenyl ring