Bayesian Optimization of Text Representations
Table 5: Comparisons on the Amazon electronics dataset. Scores are as reported by riejohnson.
['[BOLD] Method', '[BOLD] Acc.']
Our method is on par with the second-best of these, outperforming all of the reported feed-forward neural networks and SVM variants Johnson and Zhang used as baselines. They varied the representations, and used log term frequency and normalization to unit vectors as the weighting scheme, after finding that this outperformed term frequency. Our method achieved the best performance with binary weighting, which they did not consider.