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The interactive entertainment industry is being actively involved with the development, marketing and sale of video games in the past decade. The increasing interest in video games has led to an increase in video game development techniques and methods. It has emerged as an immensely large sector, and now it has grown to be larger than the movie an...
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... model with a lower mean rank value performs better than the one with a higher mean rank value. Hence, from Table 4 we can conclude that w2v gives the best results (followed by GloVe) and that its performance is significantly better than Skipgram, CBOW and FastText. Friedman's TFIDF SKG CBOW W2V FAT GLOVE BERT Mean-Rank TFIDF 0 0 0 0 1 0 0 3.32 SKG 0 0 0 1 0 1 0 4.30 CBOW 0 0 0 1 0 1 0 5.82 W2V 0 1 1 0 1 0 0 2.27 FAT 1 0 0 1 0 1 1 6.27 GLOVE 0 1 1 0 1 0 0 2.625 BERT 0 0 0 0 1 0 0 3.37 ...Context 2
... the purpose of simplicity, a two-number representation for the results has been used, i.e., 0 if the null hypothesis is accepted (models are significantly same) and 1 if the hypothesis is rejected (models are significantly different). From Table 4, it can be seen that the models developed using PCA, LDA are significantly different from the model developed using all features. Similarly, models developed using LDA is significantly different from all other models. ...Context 3
... model with a lower mean rank value performs better than one with a higher mean rank value. Hence, from Table 4 we can conclude that model developed using LDA gives best results while model developed using PCA gives worst prediction results. Also, it can be seen that models built using ANOVA, all features are not significantly different from one another. ...Similar publications
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