8.2 Clustering the tweets (6 marks: 1+2+1+1+1) Public figure wants you to identify how many different topics exists in the tweet about themselves. In order to do this, you should cluster the tweets. 7. Pre-process your data (tweets) and construct a document-term matrix or a term- document matrix of the tweets (do not use random tweets), 8. Find the most appropriate number of clusters using the elbow method for the tweets by using cosine distance. 9. Cluster the tweets using k-means clustering