stopwords is a go package that removes stop words from a text content. If instructed to do so, it will remove HTML tags and parse HTML entities. The objective is to prepare a text in view to be used by natural processing algos or text comparison algorithms such as SimHash.
It uses a curated list of the most frequent words used in these languages:
- arabic
- bulgarian
- czech
- danish
- english
- finnish
- french
- german
- hungarian
- italian
- japanese
- latvian
- norwegian
- persian
- polish
- portuguese
- romanian
- russian
- slovak
- spanish
- swedish
- thai
- turkish
If the function is used with an unsupported language, it doesn't fail, but will apply english filter to the content.
You can find an example here https:github.com/bbalet/gorelated where stopwords package is used in conjunction with SimHash algorithm in order to find a list of related content for a static website generator:
import (
"github.com/bbalet/stopwords"
)
//Example with 2 strings containing P html tags
//"la", "un", etc. are (stop) words without lexical value in French
string1 := []byte("<p>la fin d'un bel après-midi d'été</p>")
string2 := []byte("<p>cet été, nous avons eu un bel après-midi</p>")
//Return a string where HTML tags and French stop words has been removed
cleanContent := stopwords.CleanString(string1, "fr", true)
//Get two (Sim) hash representing the content of each string
hash1 := stopwords.Simhash(string1, "fr", true)
hash2 := stopwords.Simhash(string2, "fr", true)
//Hamming distance between the two strings (diffference between contents)
distance := stopwords.CompareSimhash(hash1, hash2)
//Clean the content of string1 and string2, compute the Levenshtein Distance
stopwords.LevenshteinDistance(string1, string2, "fr", true)
Where fr is the ISO 639-1 code for French (it accepts a BCP 47 tag as well). https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes
Please note that this library doesn't break words. If you want to break words prior using stopwords, you need to use another library that provides a binding to ICU library.
These curated lists contain the most used words in various topics, they were not built with a corpus limited to any given specialized topic.
Most of the lists were built by IR Multilingual Resources at UniNE http://members.unine.ch/jacques.savoy/clef/index.html
stopwords is released under the BSD license.