Social Network Extraction Unsupervised

In the era of information technology, two developing sides are data science and artificial intelligence. terms scientific data, one tasks is extraction social networks from sources that have nature big data. Meanwhile, in intelligence, presence contradictory methods has an impact on knowledge. This article describes unsupervised as a stream for extracting sources. There variety possible approaches strategies to superficial starting concept. Each method its advantages, but general, it contributes integration each other, namely simplifying, enriching, emphasizing results.