When Academia Meets Technology: New Perspectives from Big Data

Academic research has its own rigorous mindset and processes, but combining it with big data can create new sparks. Source Data Technology interviewed faculty and students from the School of Communication at Hong Kong Baptist University to discuss how technology significantly enhances research efficiency and accuracy. PhD student Harris, who participated in the research, shared the challenges of content analysis before the introduction of the big data processing platform xMiner (formerly known as uMiner).

[Academic Institutions Welcome to Try] If your institution is interested in learning more about big data research, feel free to email info@umaxdata.com for inquiries.

When academic research encounters the dynamic, vast, and unstructured nature of social media information, it often feels overwhelming. xMiner (formerly known as uMiner) is a big data analysis platform developed by Source Data Technology. It boasts powerful Chinese content analysis capabilities, a flexible interface, and high transparency, ensuring that the reports produced meet the rigorous standards of academic research.