[{'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:texts = ["Hooli stock price soared after a dip in PiedPiper revenue growth.",<br>         "Captain Tsubasa scores a magnificent goal for the Japanese team.",<br>         "Merryweather mercenaries are sent on another mission, as government oversight groups call for new sanctions.",<br>         "Beyonc releases a new album, tops the charts in all of south-east Asia!",<br>         "You won\'t guess what the latest trend in data analysis is!"]<br>text_features = tfidf.transform(texts)<br>predictions = model.predict(text_features)<br>for text, predicted in zip(texts, predictions):<br>  print(\'"{}"\'.format(text))<br>  print("  - Predicted as: \'{}\'".format(id_to_category[predicted]))<br>  print("")'}, {'role': 'assistant', 'content': "['data_preprocessing']"}]