Instead of attempting to score text as broadly positive or negative, businesses would be far better served to look exclusively at emotions such as disgust and anger.
For example, in the (text {Youtube}_{mathrm{all}}) network, (text {IDRN}) outperforms all baselines by at least 17.91, 57.52 and 86.70% with respect to Hamming score, (text {Macro-F}_1) score and ({text {Micro-F}}_1) score, respectively.
This figure shows a 3D scatter plot of three features (luminance variability score, text edge score, and unnaturalness score) for the images that our algorithms classifies as mix (red X's) and for the images that our algorithm classifies as non-mix (blue O's).
Thus we use the factor scores, (text {FS}_{1}, dots, text {FS}_{N_{text {PC}}}), as the input of the neural network instead of the raw pixel data.
The x axis denotes the fraction of labeled data, and the y axis denotes the Hamming scores, ({text {Micro-F}}_1) scores and (text {Macro-F}_1) scores, respectively.
Open image in new window Fig. 1 Performance evaluation of Hamming scores, ({text {Micro-F}}_1) scores and (text {Macro-F}_1) scores on varying the amount of labeled data used for training.
Due to limitation in space, we just summarize the results of some datasets for Hamming scores, ({text {Micro-F}}_1) scores and (text {Macro-F}_1) scores in Fig. 1.
EvoGrader uses machine learning methods to extract key concept scores, naïve idea scores, and holistic reasoning model scores from text responses.
The Royal Opera's music director Antonio Pappano, steeped in this music, is a judicious, generous Wagnerian, with a passionate comprehension of score and text.
But it's such a fascinating character, such a beautiful score and text, I felt I had to try it, even though it was written for a very different artist".
The three features used in the plot are the luminance variability score, the text edge score, and the unnaturalness score.
