Develop a robust categorization scheme and apply it to large text datasets, identifying overarching themes and sub-themes for content organization.
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.
Identify and summarize the main topics present in a collection of academic papers or articles using advanced topic modeling.
Uncover dominant themes and topics within large collections of unstructured text data, such as customer feedback, news articles, or research abstracts.
Determine the overall sentiment (positive, negative, neutral) of a piece of text.