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https://github.com/BlackRabbitt/mspm

Multi-String Pattern Matching Algorithm Using TrieNode
https://github.com/BlackRabbitt/mspm

aho-corasick golang multi-search search trie

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Multi-String Pattern Matching Algorithm Using TrieNode

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README 

        
# Multi-String Pattern Matching algorithm.

[![Go Report Card](https://goreportcard.com/badge/github.com/BlackRabbitt/mspm)](https://goreportcard.com/report/github.com/BlackRabbitt/mspm)

[![GoDoc](https://godoc.org/github.com/BlackRabbitt/mspm?status.svg)](https://godoc.org/github.com/BlackRabbitt/mspm)



This implementation is inspired from [Aho-Corasick algorithm](https://en.wikipedia.org/wiki/Aho%E2%80%93Corasick_algorithm)



## Getting Started

```

modelA = mspm.NewModel("mspm_model_A")

patternsToSearch = strings.NewReader(words) // words is newline seperated list of words/keywords



// build mspm model with patterns

modelA.Build(patternsToSearch)



inputString := "input document where the above pattern is searched for."

document := strings.NewReader(inputString)

output, err := modelA.MultiTermMatch(document)



// output ~= [{matched_word: n_count}, ..]

```



## Test Coverage

* [trie package](https://gocover.io/github.com/blackrabbitt/mspm/ds/trie)

* [mspm package](https://gocover.io/github.com/blackrabbitt/mspm/search)



## TrieNode vs TrieHashNode benchmark

```

$ cd github.com/BlackRabbitt/mspm/ds/trie

$ go test -bench=.

goos: darwin

goarch: amd64

pkg: github.com/BlackRabbitt/mspm/ds/trie

BenchmarkTrieNodeInsert-4             500000          2582 ns/op

BenchmarkTrieNodeSearch-4           10000000           205 ns/op

BenchmarkTrieHashNodeInsert-4        1000000          1491 ns/op

BenchmarkTrieHashNodeSearch-4       10000000           206 ns/op

PASS

ok      github.com/BlackRabbitt/mspm/ds/trie	8.795s

```



## Resources

1. [Trie](https://en.wikipedia.org/wiki/Trie)

2. [mspm](http://www.ijsrp.org/research_paper_jul2012/ijsrp-july-2012-101.pdf) - Multi-String Pattern Matching algorithm. Generally used for Information Retrieval.

3. [Aho-Corasick algorithm](https://en.wikipedia.org/wiki/Aho%E2%80%93Corasick_algorithm)