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(Determining Author By Style Of Writing)
(Timing)
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====Timing Explanation====
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For the large flie, (250,234 characters) the parallel program had a significant speed up, however for the medium and small file, the serial program actually ran faster.  I believe this is due to the overhead of setting up threads.

Revision as of 18:29, 21 March 2016


GPU621/DPS921 | Participants | Groups and Projects | Resources | Glossary

Determining Author By Style Of Writing

A Team Members

  1. Adrian Sauvageot, All
  2. ...

Email All

Progress

Pre-Assignment

I decided to create a new program to test a theory I was told.

I was told by a professor that she believed that by taking a look at how a paper was written, she could tell if it was written by the same author. Further, she believed that a computer could tell if two pieces of text were written by the same author by looking at how it was written.

I decided to create a program that would analyze two pieces of text to try and determine if the same person wrote both pieces.

I decided to look at:

  1. average words/sentence
  2. average word length
  3. average sentences/paragraph
  4. average commas/sentence
  5. average colons/paragraph.


I then use this information to calculate how different two pieces are from each other. If they are within what I determined to be a 5% different writing style, I suggest the two pieces were written by the same person, otherwise I suggest they were written by two separate people.

To test this I ran the program on work by Shakespeare, One of my friends, and myself.

The program successfully was able to determine which author wrote each piece of text.


Assignment

The program I wrote relies on one single loop to run through a piece of text. It has no dependencies, so it can easily be parallelized using the methods discussed in this class.

Timing

To time the program I used various pieces of text. I used text from 3 authors, with varying lengths. I used 2 Shakespeare works (long - 46,956 words 250,234 characters), 2 assignments I completed for school (medium - 1,885 words 11,336 characters), and 2 blog posts that were written by the same author (short - 869 words 4,997 characters).

Serial Timing
Time for serial program run
Author Character Count Time (milliseconds)
Shakespeare 250,234 157
Adrian Sauvageot 11,336 7
Blog Post 4,997 3


OpenMP Timing
Time for OpenMP parallel program run
Author Character Count Time (milliseconds)
Shakespeare 250,234 72
Adrian Sauvageot 11,336 17
Blog Post 4,997 7

Timing Explanation

For the large flie, (250,234 characters) the parallel program had a significant speed up, however for the medium and small file, the serial program actually ran faster. I believe this is due to the overhead of setting up threads.