I need a mini-app (Compiled C on Linux) that groups similar sentences together.
I have 100,000 sentences (say in a PostgresSQL DB, Unicode text). It must perform VERY fast - by indexing each root-word to a 16bit integer (which would reduce its memory foot print), then re-creating a new data structure with sentence delimeters and sentence length. Group into buckets of similar sentence length.
Then iterate through doing word-by-word comparisons (16bit comparisons).
Two algos are acceptable:-
1. Simple - Take a source sentence and iterate through XORing word by word (irrespective of word order or word frequency). If there are more than x words outstanding - then it is NOT a similar sentence. X in this case would be 25% of the number of total words.
We leave such large gap so that we don't need to worry about word roots.
From the smaller data set - we then proceed to do a classic levenstechn comparison - but with an upper bound of x deviation - meaning after it detects more than say 10% deviation - it exists that comparison. Here it is a character by character comparison.
The app should communicate with a folder of .gz files that contain the text and it could use a text boundary to distinguish each sentence.
The output would need to be a new text file that sorts every sentence into groups of similarity - separated by a text boundary.
I need something in 36 hours. A mediocre algorithm is fine.
Bu iş için 15 freelancer ortalamada $463 teklif veriyor
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