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Multi-document summarization is an automatic procedure aimed at extraction of information from multiple texts written about the same topic. The resulting summary report allows individual users, such as professional information consumers, to quickly familiarize themselves with information contained in a large cluster of documents.
An example of a summarization problem is document summarization, which attempts to automatically produce an abstract from a given document. Sometimes one might be interested in generating a summary from a single source document, while others can use multiple source documents (for example, a cluster of articles on the
The 101 could sort cards based on multiple columns. For example, if a card had multiple 3-column test scores, the 101 could be wired to sort into pocket 0 those cards with no scores over 090, into pocket 1 those with one score over 090, and so on; logic limited only by the number of relays available.
Edit-tricks are most useful when multiple tables must be changed, then the time needed to develop complex edit-patterns can be applied to each table. For each table, insert an alpha-prefix on each column (making each row-token "|-" to sort as column zero, like prefix "Row124col00"), then sort into a new file, and then de-prefix the column entries.
A summary provides an overview of the data of a table for text and audio browsers, and does not normally display in graphical browsers. The summary (also a high Manual of Style priority for tables) is a synopsis of content, and does not repeat the caption text; think of it as analogous to an image's alt description.
Correspondence analysis (CA) is a multivariate statistical technique proposed [1] by Herman Otto Hartley (Hirschfeld) [2] and later developed by Jean-Paul Benzécri. [3] It is conceptually similar to principal component analysis, but applies to categorical rather than continuous data.
Note, rowspan="2" and colspan="2" can be used on cells to span multiple rows and columns. Header cells are created with ! Header cell, which can be column or row headers. Data cells are created with | Data cell. A new column can be added by adding another cell to the first row.
1 Examples. Toggle Examples subsection. 1.1 Location. ... Download as PDF; Printable version; ... summary statistics are used to summarize a set of observations, in ...