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Techniques for extracting statistical data from free-form text using APL
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Source International Conference on APL archive
Proceedings of the international conference on APL: APL in transition table of contents
Dallas, Texas, United States
Pages: 182 - 184  
Year of Publication: 1987
ISBN:0-89791-226-8
Also published in ...
Authors
L. Owen Hill  IBM General Technology Division, East Fishkill, Hopewell Junction (300-45A), N.Y.
David A. Zein  IBM General Technology Division, East Fishkill, Hopewell Junction (300-45A), N.Y.
Sponsor
SIGAPL: ACM Special Interest Group on APL Programming Language
Publisher
ACM  New York, NY, USA
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ABSTRACT

A family of methods has been developed for processing free-form text files using APL. We assume that a file has an arbitrary structure and has regions of statistical and numerical data embedded in it. The data in the file are processed to extract the following information: 1. the embedded statistical and numeric regions, 2. titles, keys (legends), and tic-mark identifiers, associated with each region, and 3. dates and other pertinent information. Once these data are extracted, bar, line, pie charts or a combination of those are plotted. An APL program which is automatically loaded and invoked performs these tasks. The program has been tested on hundreds of files with different structures. Some of these files have multiple statistical regions.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Lotus 1-2-3 User's Manual, 1983 Lotus Development Corp., Cambridge, MA
 
2
L. Owen Hill and David A. Zein, "Extracting Statistical Data from Free-Form Text Files" IEEE Circuits and Devices Magazine, Vol. 2 #3, 1986, pp. 18-24


Collaborative Colleagues:
L. Owen Hill: colleagues
David A. Zein: colleagues