Search results
Results from the WOW.Com Content Network
A plot summary is a retelling, a summary, or an abridged or shortened précis of the events that occur within a work of fiction. The purpose of a plot summary is to help the reader understand the important events within a work of fiction, be they of the work as a whole or of an individual character.
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.
John W. Tukey wrote the book Exploratory Data Analysis in 1977. [6] Tukey held that too much emphasis in statistics was placed on statistical hypothesis testing (confirmatory data analysis); more emphasis needed to be placed on using data to suggest hypotheses to test.
Dictionary-based approaches set up a list of categories derived from the frequency list of words and control the distribution of words and their respective categories over the texts. While methods in quantitative content analysis in this way transform observations of found categories into quantitative statistical data, the qualitative content ...
By splitting the data into multiple parts, we can check if an analysis (like a fitted model) based on one part of the data generalizes to another part of the data as well. [144] Cross-validation is generally inappropriate, though, if there are correlations within the data, e.g. with panel data . [ 145 ]
Concordance – an alphabetical list of the principal words used in a book or body of work; Dictionary – a list of words from one or more languages, systematically arranged and giving meanings, etymologies etc. Digest – a summary of information on a particular subject; Directory – a systematically arranged list of names, addresses ...
Data science is "a concept to unify statistics, data analysis, informatics, and their related methods" to "understand and analyze actual phenomena" with data. [5] It uses techniques and theories drawn from many fields within the context of mathematics , statistics, computer science , information science , and domain knowledge . [ 6 ]
The informative abstract, also known as the complete abstract, is a compendious summary of a paper's substance and its background, purpose, methodology, results, and conclusion. [23] [24] Usually between 100 and 200 words, the informative abstract summarizes the paper's structure, its major topics and key points. [23]