In addition to the review text data, each customer also provided a rating score, with $1-$star representing poor and $5-$star representing excellent. Suppose your text mining task is to predict ratings based on the customer reviews. Which of the three techniques below is NOT appropriate for your task? Choose only one answer.

$($i$)$ J$48$ decision tree algorithm

$($ii$)$ support vector regression

$($iii$)$ k$-$means algorithm

Answer $1$ from web: Number of terms this dimension is more likely to be larger.

Explanation: Given, If review was limited to no more than $50$ words, then in the term$-$document matrix, number of terms this dimension is more likely to be larger.