Your social media posts reveal a lot about you. KAUST researchers have developed a dynamic computational model that can analyze tweets to identify Twitter users’ interests and track changes over time.“Understanding the evolution of users’ interests means we can group them accordingly and recommend friends, news, events and other services,” says Xiangliang Zhang who led the research at KAUST.
Creating computer models that can identify a person’s evolving interests from their social media posts is a multifaceted problem. The first challenge is to understand the meaning of the posted text, a research area known as Natural Language Processing (NLP). “The objective of NLP is to make computers as intelligent as human beings in understanding language,” Zhang says. “It is one of the most challenging tasks of AI,” she adds.
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