Computer Architecture
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[SOLVED] algorithm python students are provided with a sentiment analysis dataset (IMDb). The dataset contains positive and negative movie reviews. Training, development and test splits are provided. Based on this dataset, students will be asked to preprocess the data, select features and train a machine learning model of their choice to solve this problem. Students should include at least three different features to train their model, one of them should be based on some sort of word frequency. Students can decide the type of frequency (absolute or relative, normalized or not) and text preprocessing for this mandatory word frequency feature. The remaining two (or more) features can be chosen freely. Then, students are asked to perform feature selection to reduce the dimensionality of all features.
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