[{'role': 'system', 'content': "You are an expert in machine learning and your task is to classify code snippets into one of the following categories: ['helper_functions', 'load_data', 'data_exploration', 'data_preprocessing', 'evaluation', 'modelling', 'prediction', 'result_visualization', 'save_results', 'comment_only']."}, {'role': 'user', 'content': 'Identify the single most appropriate category to which the provided code belongs. Provide your response as a single category label without any additional information, commentary, or personal opinions.\\nPython Code:from nltk.corpus import stopwords\nmystops = []\nmystops.append(\'one\')\nmystops.append(\'may\')\nmystops.append(\'would\')\nmystops.append(\'many\')\nmystops.append(\'could\')\nmystops.append(\'us\')\nmystops.append(\'said\')\nmystops.append(\'might\')\nmystops.append(\'go\')\nmystops.append(\'upon\')\nmystops.append(\'well\')\nmystops.append(\'see\')\nmystops.append(\'shall\')\nmystops.append(\'know\')\nmystops.append(\'came\')\nmystops.append(\'time\')\nmystops.append(\'must\')\nmystops.append(\'way\')\nmystops.append(\'come\')\nmystops.append(\'back\')\nmystops.append(\'much\')\nmystops.append(\'yes\')\nmystops.append(\'away\')\nmystops.append(\'quite\')\nmystops.append(\'however\')\nmystops.append(\'made\')\nmystops.append(\'yet\')\nmystops.append(\',\')\nmystops.append(\'.\')\nmystops.append(\';\')\nmystops.append(\'!\')\nmystops.append(\'?\')\nmystops.append(\'``\')\nmystops.append(\'"\')\nmystops.append(\'enron\')\nmystops.append(\'forwarded\')\nmystops.append(\'subject\')\nmystops.append(\'k\')\nmystops.append(\'please\')\nmystops.append(\'s\')\nmystops.append(\'a\')\ndef remove_stopwords(text, hapaxes):\nstopwords = nltk.corpus.stopwords.words(\'english\')\ncontent = [w for w in text if w.lower() not in stopwords \\\nand w.lower() not in mystops\nand w.isalpha() \\\nand w.lower() not in hapaxes]\nreturn nltk.Text(content)\ntext_nostopwords = remove_stopwords(text, fdist.hapaxes())\nfdist_nostopwords = text_nostopwords.vocab()\nprint(fdist_nostopwords)\nfdist_nostopwords'}, {'role': 'assistant', 'content': 'data_preprocessing'}]