Develop a comprehensive strategy for cleaning unstructured text data, including normalization, noise reduction, and handling missing values for various NLP tasks.
Task: generate a summary of a video. Input: [video title], [video transcript], [length of summary: e.g., 100 words, 200 words] Instruction: summarize the video transcript, focusing on the main topics and key takeaways. The summary should be concise and informative, providing a clear overview of the video's content. Adhere to the specified length constraint.
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This prompt is part of the premium pack "Advanced data preparation strategies".
Transform messy text data into a clean, standardized format, improving consistency and preparing text for effective natural language processing.
Generate a step-by-step process to standardize text data within a dataset, addressing issues like inconsistent capitalization, whitespace, and variations.
This prompt helps identify various forms of missing data in a dataset and suggests strategies for handling them, including imputation and deletion methods.