Maximize your audience segmentation and social listening potential with a specialized Healthcare platform that seamlessly combines Social Media discussions with Scientific and Industrial information.Book a demo
Audience intelligence delves into understanding the individuals within an audience—examining what they discuss or share, the content they distribute, how they define themselves, their interactions with others, and the strength of their impact and engagement on social media.
On the other hand, social listening centers on monitoring conversations and content, analyzing keywords or hashtags, identifying topics, and gauging sentiment within discussions.
While social listening and audience intelligence have distinct focuses, their combined synergy is remarkably potent. This is precisely why Doltracker seamlessly integrates both audience intelligence and social listening into a unified platform.
Healthcare-related subjects and biomedical terminology are highly specialized. It is not surprising that major providers, including Google, are beginning to develop healthcare-specific Large Language Models. The healthcare domain is expansive, encompassing numerous diseases and therapeutics, requiring dedicated resources. Despite facing technological challenges, healthcare is also a heavily regulated industry, demanding strict adherence to rules and compliance.
Recognizing that a one-size-fits-all approach does not apply, the team behind Doltracker has diligently focused its efforts on healthcare since the inception of its journey, aiming to build a unique platform tailored to the intricacies of the industry.
Doltracker seamlessly integrates Audience Intelligence and Social Listening into a unified platform, delivering crucial insights while ensuring compliance with stringent regulations. By amalgamating Social Media Posts with data gathered from Scientific and Industrial sources, Doltracker goes beyond the surface, providing in depth insights tailored to the specific needs of clients. The Natural Language Understanding of Doltracker has been finely tuned to the nuances of Biomedical content and health-related topics.
In the realm of social media, we have developed a platform initially featuring posts from Twitter and are expanding its reach to include LinkedIn and YouTube. A consistent Natural Language Processing methodology is applied across these various social media sources, given their similar text structures in conversations.
For Scientific and Industrial sources, we have leveraged several thousand relevant data sources to meticulously build and update extensive keyword libraries on a daily basis. This allows us to extract content from social media and tag the content of social media posts to entities extracted and interconnected from these diverse sources.