A deep neural network approach for sentiment analysis of medically related texts: an analysis of tweets related to concussions in sports

RT @DrMDCusimano: Thanks for the feature @UnityHealthTO! Our team developed a system that analyzes tweets to measure the public's #sentime…

RT @DrMDCusimano: Thanks for the feature @UnityHealthTO! Our team developed a system that analyzes tweets to measure the public's #sentime…

Thanks for the feature @UnityHealthTO! Our team developed a system that analyzes tweets to measure the public's #sentiment towards #concussion. This approach could be expanded on to gauge the public's reaction towards various #injuryprevention or #publich

RT @DrMDCusimano: In our recent publication with @SpringerNature, we developed an automated approach to analyze tweets about sport-related…

In our recent publication with @SpringerNature, we developed an automated approach to analyze tweets about sport-related #concussion. This approach can be used to measure the general public's sentiment towards #SportsRelatedConcussion in #sporting events.

How does the public feel about concussions during a major sporting event? @DrMDCusimano and his team analyzed 82,000 tweets during the FIFA World Cup 2018 for a new study to find out. READ MORE: https://t.co/zLvIK1IAW2. https://t.co/C6e8j5eYuy

A deep neural network approach for sentiment analysis of medically related texts: an analysis of tweets related to #concussions in sports https://t.co/8AFasFKdAn

A deep neural network approach for sentiment analysis of medically related texts: an analysis of tweets related to concussions in sports - PubMed https://t.co/AAe0ztY9ie