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Occasionally, you'll find excessively detailed plot summaries that overwhelm readers with a summary of every scene. In this case, it's frequently best to rewrite the plot summary from scratch. If you come upon a plot summary of around 800 to 900 words, it's frequently possible to streamline it such that you lose no significant information.
Cutting less important ones can make the plot summary tighter and easier to understand. Identify the significant story beats; often, briefly stating that the plot progresses from situation A to B rather than delineating how it gets there, i.e. skipping to the results of a sequence or even entire subplot, is a practical rule of thumb for staying ...
The coverage of a fictional work should not be a mere plot summary. A summary should facilitate substantial coverage of the work's real-world development, reception, and significance. This means that an article about a work of fiction or elements from such works should not solely be a summary of the primary and tertiary sources , they should ...
Wikipedia articles concerning fiction frequently feature overly long or excessively detailed plot summaries. While any plot section can be trimmed, it can be hard to know what to cut if one hasn't consumed the relevant media, while those who have might be tempted to explain any intricacy that arises to give the reader the full experience of the show.
Executive summaries are important as a communication tool in both academia and business. For example, members of Texas A&M University's Department of Agricultural Economics observe that "An executive summary is an initial interaction between the writers of the report and their target readers: decision makers, potential customers, and/or peers.
A report is a document or a statement that presents information in an organized format for a specific audience and purpose. Although summaries of reports may be delivered orally, complete reports are usually given in the form of written documents. [1] [2] Typically reports relay information that was found or observed. [2]
Abstractive summarization methods generate new text that did not exist in the original text. [12] This has been applied mainly for text. Abstractive methods build an internal semantic representation of the original content (often called a language model), and then use this representation to create a summary that is closer to what a human might express.
A common collection of order statistics used as summary statistics are the five-number summary, sometimes extended to a seven-number summary, and the associated box plot. Entries in an analysis of variance table can also be regarded as summary statistics. [1]: 378