Twitter Analysis Technical

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(The Database)
 
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This is a page about some more technical aspects of an application whose main page is: '''[[Twitter Analysis DB]]'''.
 
This is a page about some more technical aspects of an application whose main page is: '''[[Twitter Analysis DB]]'''.
  
= The Database =
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this content should be in [[Twitter Analysis DB Details]] move it and see if anything remains here??
The application is designed so that using it does not require writing any SQL ( Structured Query Language ), however, some familiarity with SQL and relational databases may be useful. This is not an introduction to SQL but is a description of some of the ways it has been applied in this application.
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== Tweets ==
 
  
== Concordance ==
 
  
Commonly abbreviated in the app as concord, it is a table generated from the tweets by extracting each "word" of the tweet. "Word" is in quotes because quite a bit of processing is involved in determining what is a word.  The simple way would be to just break the tweets up on blank spaces, but what is actually done is a bit more complicated as described in [[TBD]]
 
  
== Words ==
 
 
This is a table of words taken from common usage and then loaded into a database table "words"
 
  
  
 
[[Category:Python Projects]] [[category:Python]]  [[Category:Twitter Analysis DB]]
 
[[Category:Python Projects]] [[category:Python]]  [[Category:Twitter Analysis DB]]

Latest revision as of 10:45, 29 May 2020

This is a page about some more technical aspects of an application whose main page is: Twitter Analysis DB.

this content should be in Twitter Analysis DB Details move it and see if anything remains here??

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