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<meta property="og:description" content="一.需求分析​ 在审核文本内容的时候,我们可以调用第三方成熟的服务(例如阿里云的内容安全)来实现,但是基于不同的场景,第三方的服务不可能涉及到方方面面的敏感词,比如在游戏类的场景中,开挂一词算敏感词,但是在其它的场景中,开挂一词是一个正常的词汇。这时候需要我们根据不同场景自己维护一套敏感词,在文本审核的时候,需要验证文本中是否包含这些敏感词。 二.可选方案 方案 说明 数据库模糊查询">
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<h2 id="二-可选方案"><a href="#二-可选方案" class="headerlink" title="二.可选方案"></a>二.可选方案</h2><table>
<thead>
<tr>
<th><strong>方案</strong></th>
<th><strong>说明</strong></th>
</tr>
</thead>
<tbody><tr>
<td>数据库模糊查询</td>
<td>效率太低</td>
</tr>
<tr>
<td>String.indexOf(“”)查找</td>
<td>数据库量大的话也是比较慢</td>
</tr>
<tr>
<td>全文检索</td>
<td>分词再匹配</td>
</tr>
<tr>
<td>DFA算法</td>
<td>确定有穷自动机(一种数据结构)</td>
</tr>
</tbody></table>
<h2 id="三-DFA算法"><a href="#三-DFA算法" class="headerlink" title="三. DFA算法"></a>三. DFA算法</h2><h3 id="1-简介"><a href="#1-简介" class="headerlink" title="1.简介"></a>1.简介</h3><p>DFA全称为Deterministic Finite Automaton,即确定有穷自动机。</p>
<p>存储一次性的把所有的敏感词存储到了多个map中就是下图表示这种结构</p>
<p>敏感词:冰毒、大麻、大坏蛋</p>
<p><img src="/pictures/image-20231203134106231.png" alt="image-20231203134106231"></p>
<h3 id="2-检索过程"><a href="#2-检索过程" class="headerlink" title="2.检索过程"></a>2.检索过程</h3><p><img src="/pictures/image-20231203134335076.png" alt="image-20231203134335076"></p>
<h2 id="四-工具类"><a href="#四-工具类" class="headerlink" title="四.工具类"></a>四.工具类</h2><figure class="highlight java"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br><span class="line">5</span><br><span class="line">6</span><br><span class="line">7</span><br><span class="line">8</span><br><span class="line">9</span><br><span class="line">10</span><br><span class="line">11</span><br><span class="line">12</span><br><span class="line">13</span><br><span class="line">14</span><br><span class="line">15</span><br><span class="line">16</span><br><span class="line">17</span><br><span class="line">18</span><br><span class="line">19</span><br><span class="line">20</span><br><span class="line">21</span><br><span class="line">22</span><br><span class="line">23</span><br><span class="line">24</span><br><span class="line">25</span><br><span class="line">26</span><br><span class="line">27</span><br><span class="line">28</span><br><span class="line">29</span><br><span class="line">30</span><br><span class="line">31</span><br><span class="line">32</span><br><span class="line">33</span><br><span class="line">34</span><br><span class="line">35</span><br><span class="line">36</span><br><span class="line">37</span><br><span class="line">38</span><br><span class="line">39</span><br><span class="line">40</span><br><span class="line">41</span><br><span class="line">42</span><br><span class="line">43</span><br><span class="line">44</span><br><span class="line">45</span><br><span class="line">46</span><br><span class="line">47</span><br><span class="line">48</span><br><span class="line">49</span><br><span class="line">50</span><br><span class="line">51</span><br><span class="line">52</span><br><span class="line">53</span><br><span class="line">54</span><br><span class="line">55</span><br><span class="line">56</span><br><span class="line">57</span><br><span class="line">58</span><br><span class="line">59</span><br><span class="line">60</span><br><span class="line">61</span><br><span class="line">62</span><br><span class="line">63</span><br><span class="line">64</span><br><span class="line">65</span><br><span class="line">66</span><br><span class="line">67</span><br><span class="line">68</span><br><span class="line">69</span><br><span class="line">70</span><br><span class="line">71</span><br><span class="line">72</span><br><span class="line">73</span><br><span class="line">74</span><br><span class="line">75</span><br><span class="line">76</span><br><span class="line">77</span><br><span class="line">78</span><br><span class="line">79</span><br><span class="line">80</span><br><span class="line">81</span><br><span class="line">82</span><br><span class="line">83</span><br><span class="line">84</span><br><span class="line">85</span><br><span class="line">86</span><br><span class="line">87</span><br><span class="line">88</span><br><span class="line">89</span><br><span class="line">90</span><br><span class="line">91</span><br><span class="line">92</span><br><span class="line">93</span><br><span class="line">94</span><br><span class="line">95</span><br><span class="line">96</span><br><span class="line">97</span><br><span class="line">98</span><br><span class="line">99</span><br><span class="line">100</span><br><span class="line">101</span><br><span class="line">102</span><br><span class="line">103</span><br><span class="line">104</span><br><span class="line">105</span><br><span class="line">106</span><br><span class="line">107</span><br><span class="line">108</span><br><span class="line">109</span><br><span class="line">110</span><br><span class="line">111</span><br><span class="line">112</span><br><span class="line">113</span><br><span class="line">114</span><br><span class="line">115</span><br><span class="line">116</span><br><span class="line">117</span><br><span class="line">118</span><br><span class="line">119</span><br><span class="line">120</span><br><span class="line">121</span><br><span class="line">122</span><br><span class="line">123</span><br><span class="line">124</span><br></pre></td><td class="code"><pre><span class="line"><span class="keyword">package</span> com.heima.utils.common;</span><br><span class="line"></span><br><span class="line"></span><br><span class="line"><span class="keyword">import</span> java.util.*;</span><br><span class="line"></span><br><span class="line"><span class="keyword">public</span> <span class="keyword">class</span> <span class="title class_">SensitiveWordUtil</span> &#123;</span><br><span class="line"></span><br><span class="line"> <span class="keyword">public</span> <span class="keyword">static</span> Map&lt;String, Object&gt; dictionaryMap = <span class="keyword">new</span> <span class="title class_">HashMap</span>&lt;&gt;();</span><br><span class="line"></span><br><span class="line"></span><br><span class="line"> <span class="comment">/**</span></span><br><span class="line"><span class="comment"> * 生成关键词字典库</span></span><br><span class="line"><span class="comment"> * <span class="doctag">@param</span> words</span></span><br><span class="line"><span class="comment"> * <span class="doctag">@return</span></span></span><br><span class="line"><span class="comment"> */</span></span><br><span class="line"> <span class="keyword">public</span> <span class="keyword">static</span> <span class="keyword">void</span> <span class="title function_">initMap</span><span class="params">(Collection&lt;String&gt; words)</span> &#123;</span><br><span class="line"> <span class="keyword">if</span> (words == <span class="literal">null</span>) &#123;</span><br><span class="line"> System.out.println(<span class="string">&quot;敏感词列表不能为空&quot;</span>);</span><br><span class="line"> <span class="keyword">return</span> ;</span><br><span class="line"> &#125;</span><br><span class="line"></span><br><span class="line"> <span class="comment">// map初始长度words.size(),整个字典库的入口字数(小于words.size(),因为不同的词可能会有相同的首字)</span></span><br><span class="line"> Map&lt;String, Object&gt; map = <span class="keyword">new</span> <span class="title class_">HashMap</span>&lt;&gt;(words.size());</span><br><span class="line"> <span class="comment">// 遍历过程中当前层次的数据</span></span><br><span class="line"> Map&lt;String, Object&gt; curMap = <span class="literal">null</span>;</span><br><span class="line"> Iterator&lt;String&gt; iterator = words.iterator();</span><br><span class="line"></span><br><span class="line"> <span class="keyword">while</span> (iterator.hasNext()) &#123;</span><br><span class="line"> <span class="type">String</span> <span class="variable">word</span> <span class="operator">=</span> iterator.next();</span><br><span class="line"> curMap = map;</span><br><span class="line"> <span class="type">int</span> <span class="variable">len</span> <span class="operator">=</span> word.length();</span><br><span class="line"> <span class="keyword">for</span> (<span class="type">int</span> <span class="variable">i</span> <span class="operator">=</span><span class="number">0</span>; i &lt; len; i++) &#123;</span><br><span class="line"> <span class="comment">// 遍历每个词的字</span></span><br><span class="line"> <span class="type">String</span> <span class="variable">key</span> <span class="operator">=</span> String.valueOf(word.charAt(i));</span><br><span class="line"> <span class="comment">// 当前字在当前层是否存在, 不存在则新建, 当前层数据指向下一个节点, 继续判断是否存在数据</span></span><br><span class="line"> Map&lt;String, Object&gt; wordMap = (Map&lt;String, Object&gt;) curMap.get(key);</span><br><span class="line"> <span class="keyword">if</span> (wordMap == <span class="literal">null</span>) &#123;</span><br><span class="line"> <span class="comment">// 每个节点存在两个数据: 下一个节点和isEnd(是否结束标志)</span></span><br><span class="line"> wordMap = <span class="keyword">new</span> <span class="title class_">HashMap</span>&lt;&gt;(<span class="number">2</span>);</span><br><span class="line"> wordMap.put(<span class="string">&quot;isEnd&quot;</span>, <span class="string">&quot;0&quot;</span>);</span><br><span class="line"> curMap.put(key, wordMap);</span><br><span class="line"> &#125;</span><br><span class="line"> curMap = wordMap;</span><br><span class="line"> <span class="comment">// 如果当前字是词的最后一个字则将isEnd标志置1</span></span><br><span class="line"> <span class="keyword">if</span> (i == len -<span class="number">1</span>) &#123;</span><br><span class="line"> curMap.put(<span class="string">&quot;isEnd&quot;</span>, <span class="string">&quot;1&quot;</span>);</span><br><span class="line"> &#125;</span><br><span class="line"> &#125;</span><br><span class="line"> &#125;</span><br><span class="line"></span><br><span class="line"> dictionaryMap = map;</span><br><span class="line"> &#125;</span><br><span class="line"></span><br><span class="line"> <span class="comment">/**</span></span><br><span class="line"><span class="comment"> * 搜索文本中某个文字是否匹配关键词</span></span><br><span class="line"><span class="comment"> * <span class="doctag">@param</span> text</span></span><br><span class="line"><span class="comment"> * <span class="doctag">@param</span> beginIndex</span></span><br><span class="line"><span class="comment"> * <span class="doctag">@return</span></span></span><br><span class="line"><span class="comment"> */</span></span><br><span class="line"> <span class="keyword">private</span> <span class="keyword">static</span> <span class="type">int</span> <span class="title function_">checkWord</span><span class="params">(String text, <span class="type">int</span> beginIndex)</span> &#123;</span><br><span class="line"> <span class="keyword">if</span> (dictionaryMap == <span class="literal">null</span>) &#123;</span><br><span class="line"> <span class="keyword">throw</span> <span class="keyword">new</span> <span class="title class_">RuntimeException</span>(<span class="string">&quot;字典不能为空&quot;</span>);</span><br><span class="line"> &#125;</span><br><span class="line"> <span class="type">boolean</span> <span class="variable">isEnd</span> <span class="operator">=</span> <span class="literal">false</span>;</span><br><span class="line"> <span class="type">int</span> <span class="variable">wordLength</span> <span class="operator">=</span> <span class="number">0</span>;</span><br><span class="line"> Map&lt;String, Object&gt; curMap = dictionaryMap;</span><br><span class="line"> <span class="type">int</span> <span class="variable">len</span> <span class="operator">=</span> text.length();</span><br><span class="line"> <span class="comment">// 从文本的第beginIndex开始匹配</span></span><br><span class="line"> <span class="keyword">for</span> (<span class="type">int</span> <span class="variable">i</span> <span class="operator">=</span> beginIndex; i &lt; len; i++) &#123;</span><br><span class="line"> <span class="type">String</span> <span class="variable">key</span> <span class="operator">=</span> String.valueOf(text.charAt(i));</span><br><span class="line"> <span class="comment">// 获取当前key的下一个节点</span></span><br><span class="line"> curMap = (Map&lt;String, Object&gt;) curMap.get(key);</span><br><span class="line"> <span class="keyword">if</span> (curMap == <span class="literal">null</span>) &#123;</span><br><span class="line"> <span class="keyword">break</span>;</span><br><span class="line"> &#125; <span class="keyword">else</span> &#123;</span><br><span class="line"> wordLength ++;</span><br><span class="line"> <span class="keyword">if</span> (<span class="string">&quot;1&quot;</span>.equals(curMap.get(<span class="string">&quot;isEnd&quot;</span>))) &#123;</span><br><span class="line"> isEnd = <span class="literal">true</span>;</span><br><span class="line"> &#125;</span><br><span class="line"> &#125;</span><br><span class="line"> &#125;</span><br><span class="line"> <span class="keyword">if</span> (!isEnd) &#123;</span><br><span class="line"> wordLength = <span class="number">0</span>;</span><br><span class="line"> &#125;</span><br><span class="line"> <span class="keyword">return</span> wordLength;</span><br><span class="line"> &#125;</span><br><span class="line"></span><br><span class="line"> <span class="comment">/**</span></span><br><span class="line"><span class="comment"> * 获取匹配的关键词和命中次数</span></span><br><span class="line"><span class="comment"> * <span class="doctag">@param</span> text</span></span><br><span class="line"><span class="comment"> * <span class="doctag">@return</span></span></span><br><span class="line"><span class="comment"> */</span></span><br><span class="line"> <span class="keyword">public</span> <span class="keyword">static</span> Map&lt;String, Integer&gt; <span class="title function_">matchWords</span><span class="params">(String text)</span> &#123;</span><br><span class="line"> Map&lt;String, Integer&gt; wordMap = <span class="keyword">new</span> <span class="title class_">HashMap</span>&lt;&gt;();</span><br><span class="line"> <span class="type">int</span> <span class="variable">len</span> <span class="operator">=</span> text.length();</span><br><span class="line"> <span class="keyword">for</span> (<span class="type">int</span> <span class="variable">i</span> <span class="operator">=</span> <span class="number">0</span>; i &lt; len; i++) &#123;</span><br><span class="line"> <span class="type">int</span> <span class="variable">wordLength</span> <span class="operator">=</span> checkWord(text, i);</span><br><span class="line"> <span class="keyword">if</span> (wordLength &gt; <span class="number">0</span>) &#123;</span><br><span class="line"> <span class="type">String</span> <span class="variable">word</span> <span class="operator">=</span> text.substring(i, i + wordLength);</span><br><span class="line"> <span class="comment">// 添加关键词匹配次数</span></span><br><span class="line"> <span class="keyword">if</span> (wordMap.containsKey(word)) &#123;</span><br><span class="line"> wordMap.put(word, wordMap.get(word) + <span class="number">1</span>);</span><br><span class="line"> &#125; <span class="keyword">else</span> &#123;</span><br><span class="line"> wordMap.put(word, <span class="number">1</span>);</span><br><span class="line"> &#125;</span><br><span class="line"></span><br><span class="line"> i += wordLength - <span class="number">1</span>;</span><br><span class="line"> &#125;</span><br><span class="line"> &#125;</span><br><span class="line"> <span class="keyword">return</span> wordMap;</span><br><span class="line"> &#125;</span><br><span class="line"></span><br><span class="line"> <span class="keyword">public</span> <span class="keyword">static</span> <span class="keyword">void</span> <span class="title function_">main</span><span class="params">(String[] args)</span> &#123;</span><br><span class="line"> List&lt;String&gt; list = <span class="keyword">new</span> <span class="title class_">ArrayList</span>&lt;&gt;();</span><br><span class="line"> list.add(<span class="string">&quot;法轮&quot;</span>);</span><br><span class="line"> list.add(<span class="string">&quot;法轮功&quot;</span>);</span><br><span class="line"> list.add(<span class="string">&quot;冰毒&quot;</span>);</span><br><span class="line"> <span class="comment">//初始化敏感词库</span></span><br><span class="line"> initMap(list);</span><br><span class="line"> String content=<span class="string">&quot;我是一个好人,并不会卖冰毒,也不操练法轮功,我真的不卖冰毒&quot;</span>;</span><br><span class="line"> Map&lt;String, Integer&gt; map = matchWords(content);</span><br><span class="line"> System.out.println(map);</span><br><span class="line"> &#125;</span><br><span class="line">&#125;</span><br></pre></td></tr></table></figure>
<p><strong>结果:</strong></p>
<figure class="highlight plaintext"><table><tr><td class="gutter"><pre><span class="line">1</span><br></pre></td><td class="code"><pre><span class="line">&#123;冰毒=2, 法轮功=1&#125;</span><br></pre></td></tr></table></figure>
<p><strong>最佳实践:</strong> <a href="https://qingling.icu/posts/64695.html">项目实战-黑马头条 | The Blog (qingling.icu)</a></p>
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