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| # Test Data for EN-LDA-FGKM # | ||
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| ## Data Source ## | ||
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| * D1--D4 (d1-d4.rda) are derived from | ||
| [20 Newsgroups](http://qwone.com/~jason/20Newsgroups/) | ||
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| * R3 (r3.rda) and R7 (r7.rda) are derived from | ||
| [Reuters-21578](http://www.daviddlewis.com/resources/testcollections/reuters21578/) | ||
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| * RCV1 (rcv1.rda) is derived from | ||
| [RCV1-v2](http://www.ai.mit.edu/projects/jmlr/papers/volume5/lewis04a/lyrl2004_rcv1v2_README.htm) | ||
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| ## Data Summary ## | ||
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| | Data Set | Categories | No. of Documents | No. of Words | | ||
| |:--------:|:-------------------------------|-----------------:|-------------:| | ||
| | D1 | comp.sys.ibm.pc.hardware | 558 | 2285 | | ||
| | | comp.sys.mac.hardware | 537 | | | ||
| | | comp.windows.x | 555 | | | ||
| | D2 | comp.graphics | 546 | 2120 | | ||
| | | comp.os.ms-windows.misc | 534 | | | ||
| | | comp.sys.ibm.pc.hardware | 556 | | | ||
| | D3 | talk.politics.guns | 537 | 3122 | | ||
| | | talk.politics.mideast | 538 | | | ||
| | D4 | sci.electronics | 551 | 4349 | | ||
| | | sci.med | 572 | | | ||
| | | sci.space | 578 | | | ||
| | | soc.religion.christian | 579 | | | ||
| | R3 | earn | 2787 | 2807 | | ||
| | | acq | 2092 | | | ||
| | | crude | 354 | | | ||
| | R7 | earn | 2787 | 3460 | | ||
| | | acq | 2088 | | | ||
| | | crude | 355 | | | ||
| | | trade | 332 | | | ||
| | | money-fx | 249 | | | ||
| | | interest | 198 | | | ||
| | | ship | 154 | | | ||
| | RCV1 | C17 (Funding/Capital) | 551 | 3086 | | ||
| | | E21 (Government Finance) | 610 | | | ||
| | | GCRIM (Crime, Law Enforcement) | 317 | | | ||
| | | GDIP (International Relations) | 291 | | | ||
| | | GPOL (Domestic Politics) | 323 | | | ||
| | | GVIO (War, Civil War) | 375 | | | ||
| | | M12 (Bond Markets) | 449 | | | ||
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| ## Data Format & Usage ## | ||
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| All data sets are processed and stored using [R](https://www.r-project.org/). | ||
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| ```R | ||
| > load("d1.rda") | ||
| > ls() | ||
| [1] "d1" | ||
| > class(d1) | ||
| [1] "list" | ||
| > length(d1) | ||
| [1] 3 | ||
| > names(d1) | ||
| [1] "corpus" "label" "vocab" | ||
| > length(d1$corpus) | ||
| [1] 1650 | ||
| > length(d1$label) | ||
| [1] 1650 | ||
| > table(d1$label) | ||
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| 4 5 6 | ||
| 558 537 555 | ||
| > length(d1$vocab) | ||
| [1] 2285 | ||
| > head(d1$vocab) | ||
| 0 1 2 3 4 5 | ||
| "series" "card" "edu" "cs" "ve" "told" | ||
| > d1$corpus[[1]] | ||
| [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [,11] [,12] [,13] [,14] | ||
| [1,] 0 1 2 3 4 5 6 7 8 9 10 11 12 13 | ||
| [2,] 1 1 1 1 1 1 3 1 1 1 1 2 1 1 | ||
| [,15] | ||
| [1,] 14 | ||
| [2,] 1 | ||
| > d1$corpus[[1]][, 1] | ||
| [1] 0 1 | ||
| ``` | ||
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| Every data set is a list of *corpus*, *label* and *vocab*. A element | ||
| in *corpus* represents a document. The category a document belongs to | ||
| is given in *label*. *vocab* lists all the unique words in *corpus*. | ||
| A document in *corpus* is a two-row matrix, where a column represents | ||
| a unique word in the document. The first row is the index of the word | ||
| in *vocab*, and the second row is the tf (term frequency) of the word. | ||
| For example, `d1$corpus[[1]][, 1]` tells the word "series" occurs once | ||
| in the first document. |