I\'m looking for suggestions for an efficient algorithm for finding all matches in a large body of text. Terms to search for will be contained in a list and can have 1000+ p
So you have lots of search terms and want to see if any of them are in the document?
Purely algorithmically, you could sort all your possibilities in alphabetical order, join them with pipes, and use them as a regular expression, if the regex engine will look at /ant|ape/
and properly short-circuit the a in "ape" if it didn't find it in "ant". If not, you could do a "precompile" of a regex and "squish" the results down to their minimum overlap. I.e. in the above case /a(nt|pe)/
and so on, recursively for each letter.
However, doing the above is pretty much like putting all your search strings in a 26-ary tree (26 characters, more if also numbers). Push your strings onto the tree, using one level of depth per character of length.
You can do this with your search terms to make a hyper-fast "does this word match anything in my list of search terms" if your search terms number large.
You could theoretically do the reverse as well -- pack your document into the tree and then use the search terms on it -- if your document is static and the search terms change a lot.
Depends on how much optimization you need...