Using this model, a tweet represents a data point in where d is the size of the word vocabulary and v j is the TF-IDF weight of j th word in tweet m i .
in a dynamic microtext stream, word vocabulary changes and the number of tweets increases over time, making it computationally expensive to recalibrate the inverse document frequency of TF-IDF.