[{'role': 'system', 'content': "You are an expert in machine learning and your task is to classify the code snippets into categories from the provided list of categories. List of categories: ['helper_functions', 'load_data', 'data_exploration', 'data_preprocessing', 'evaluation', 'modelling', 'prediction', 'result_visualization', 'save_results', 'comment_only']"}, {'role': 'user', 'content': "Identify to which category the provided code belongs and assign the code snippet to at least 1 but up to 5 categories based on the probabilities, ignore if the probability of the category is negligible. Strictly provide your response as a list. Avoid providing any additional information, commentary, or personal opinions.\\nPython Code:from sklearn.feature_extraction.text import TfidfVectorizer\n\ntfidf = TfidfVectorizer(sublinear_tf=True, min_df=5, norm='l2', encoding='latin-1', ngram_range=(1, 2), stop_words='english')\n\nfeatures = tfidf.fit_transform(df.Text).toarray() # Remaps the words in the 1490 articles in the text column of \n                                                  # data frame into features (superset of words) with an importance assigned \n                                                  # based on each words frequency in the document and across documents\n\nlabels = df.category_id                           # represents the category of each of the 1490 articles\n"}, {'role': 'assistant', 'content': "['data_preprocessing']"}]