[{'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:%%time\ndef get_nlp_features(s, w):\n    doc = nlp(str(s))\n    tokens = pd.DataFrame([[token.text, token.dep_] for token in doc], columns=['text', 'dep'])\n    return len(tokens[((tokens['text']==w) & (tokens['dep']=='poss'))])\n\ntrain['A-poss'] = train['Text'].map(lambda x: get_nlp_features(x, 'subjectone'))\ntrain['B-poss'] = train['Text'].map(lambda x: get_nlp_features(x, 'subjecttwo'))\ntest['A-poss'] = test['Text'].map(lambda x: get_nlp_features(x, 'subjectone'))\ntest['B-poss'] = test['Text'].map(lambda x: get_nlp_features(x, 'subjecttwo'))"}, {'role': 'assistant', 'content': "['data_preprocessing']"}]