### Minor fixes to report

parent d59d269a
 ... ... @@ -222,8 +222,8 @@ is the mean vote for $s_i$ being a feature of $s_j$. However, this is not a reli Let $c_i$ be the total count of occurrences of an argument from $s_i$ in the review texts. Then $$\tau_{i,j} = \frac{n_{i,j}}{c_i}$$ is a relative measure for how often an argument from $s_i$ appears in conjunction with an argument from $s_j$. If we scale $\hat{v}_{i,j}$ by $\tau_{i,j}$, we obtain a more accurate measure for relatedness, $$r_{i,j} = \hat{v}_{i,j} \times \tau_{i,j} = \frac{v_{i,j}}{c_i}.$$ is a relative measure for how often an argument from $s_i$ appears in conjunction with an argument from $s_j$. If we scale $\bar{v}_{i,j}$ by $\tau_{i,j}$, we obtain a more accurate measure for relatedness, $$r_{i,j} = \bar{v}_{i,j} \times \tau_{i,j} = \frac{v_{i,j}}{c_i}.$$ Using this formula, we define the \textit{relation matrix} $$R = V \mathbin{/} \textbf{c},$$ where $\textbf{c}$ is a vector containing the counts $c_i$ for each $s_i \in S$. ... ...
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