sensitive-word

Usually work, as long as it comes to the user can speak freely (blog, documents, forums), we must consider the sensitivity of processing content.

sensitive-word high-performance tool based on sensitive words DFA algorithm implemented. Tool use java to achieve, to help us solve common problems.

characteristic

6W + thesaurus, and continually optimize update
Based on DFA algorithm, better performance
Based fluent-api, using the elegant simplicity
Support sensitive words of judgment, return, desensitization and other common operations
Support for full-width half-angle interchangeable
Support case in English swap

Quick Start

ready

JDK1.7 +
Maven 3.x+

Maven introduced

<dependency>
    <groupId>com.github.houbb</groupId>
    <artifactId>sensitive-word</artifactId>
    <version>0.0.4</version>
</dependency>

api Overview

SensitiveWordBs Class sensitive words as a guide, the core as follows:

method	parameter	return value	Explanation
newInstance()	no	Bootstrap class	Initial boot class
contains(String)	String to be verified	Boolean value	Verify that the string contains sensitive words
findAll(String)	String to be verified	List of strings	Returns a string in all sensitive words
replace(String, char)	Replace the specified char sensitive words	String	Returns string desensitization
replace(String)	Use `*`replace sensitive words	String	Returns string desensitization

Use Case

All test cases see SensitiveWordBsTest

Judgment contains sensitive words

final String text = "五星红旗迎风飘扬，毛主席的画像屹立在天安门前。";

Assert.assertTrue(SensitiveWordBs.newInstance().contains(text));

Returns a sensitive word

final String text = "五星红旗迎风飘扬，毛主席的画像屹立在天安门前。";

String word = SensitiveWordBs.newInstance().findFirst(text);
Assert.assertEquals("五星红旗", word);

Back to all sensitive words

final String text = "五星红旗迎风飘扬，毛主席的画像屹立在天安门前。";

List<String> wordList = SensitiveWordBs.newInstance().findAll(text);
Assert.assertEquals("[五星红旗, 毛主席, 天安门]", wordList.toString());

The default replacement policy

final String text = "五星红旗迎风飘扬，毛主席的画像屹立在天安门前。";
String result = SensitiveWordBs.newInstance().replace(text);
Assert.assertEquals("****迎风飘扬，***的画像屹立在***前。", result);

Specify alternative content

final String text = "五星红旗迎风飘扬，毛主席的画像屹立在天安门前。";
String result = SensitiveWordBs.newInstance().replace(text, '0');
Assert.assertEquals("0000迎风飘扬，000的画像屹立在000前。", result);

More Features

Subsequent many features, mainly for various treatments for a variety of situations, to enhance hit rate sensitive words as possible.

It was a long offensive and defensive battle.

Ignore case

final String text = "fuCK the bad words.";

String word = SensitiveWordBs.newInstance().findFirst(text);
Assert.assertEquals("fuCK", word);

Ignore the half-angle fillet

final String text = "ｆｕｃｋ the bad words.";

String word = SensitiveWordBs.newInstance().findFirst(text);
Assert.assertEquals("ｆｕｃｋ", word);

Late road-map

Digital conversion process
Traditional and simplified exchange
Repeat the word
Pause word
Pinyin swap
User-defined list of sensitive words and White
Text Mirror Flip
Sensitive word label support

java achieve sensitive words (sensitive word) Detailed instructions for use tool