However, in practice we don't observe the latent variables Z and only have the incomplete data W .
here, β, γ, η, λ, χ, δ are priors, I is an identity matrix, and P (e|x m , Φ) is the probability of the tweet w m with coordinate x m belonging to the event e. It is defined as, It is calculated as the normalized Euclidean distance between a tweet w m and an event e. Using this equation, when the Euclidean distance between a tweet w m and and an event e is small, the probability that tweet w m belongs to event e becomes large.