1.准备数据,这里我从数据库读取一个带有html标签和script脚本的数据aaarticlea/png;base64,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" alt="" />

代码:

@Before

    public void init(){

        SQLService sqlService = new SQLService();

        sqlService.regist(null);

        BaseDao bd = new BaseDao();

        String sql = "select * from t where title like '% 每天读一遍，舌头更无敌%'";

        lists = bd.getList(sql);

        System.out.println(lists.size());

        content = lists.get(0).get("content").toString();

//        System.out.println(content);

    }

2. 使用字符过滤器-HTMLStripCharFilter 和 MappingCharFilter.由于这些字符过滤器都是继承Reader的.所以可以像读取reader那样处理.

代码:

    @Test

    public void test2() throws IOException{

        StringBuilder sb = new StringBuilder();

        // html过滤

        HTMLStripCharFilter htmlscript = new HTMLStripCharFilter(new StringReader(content));

        //增加映射过滤  主要过滤掉换行符

        NormalizeCharMap.Builder builder = new NormalizeCharMap.Builder();

        builder.add( "\r", "" );//回车

        builder.add( "\t", "" );//横向跳格

        builder.add( "\n", "" );//换行

        CharFilter cs = new MappingCharFilter( builder.build(),htmlscript );

        char[] buffer = new char[10240];

        int count;

        while ((count = cs.read(buffer)) != -1) {

            sb.append(new String(buffer, 0, count));

        }

        System.out.println(sb.toString());

        cs.close();

//        String keywords = HanLP.extractKeyword(sb.toString(), 20).toString();

//        System.out.println(keywords);

    }

处理结果:

亲爱的小伙伴们，累了，就放松一下吧！1. Can you can a can as a canner can can a can?­你能够像罐头工人一样装罐头吗？­
2. I wish to wish the wish you wish to wish, but if you wish the wish the witch wishes, I won't wish the wish you wish to 
wish.­  我希望梦想着你梦想中的梦想，但是如果你梦想着女巫的梦想，我就不想梦想着你梦想中的梦想。­3. I scream, you scream, we all scream 
for ice-cream!­  我叫喊，你叫喊，我们都喊着要冰淇淋!­4. How many cookies could a good cook cook if a good cook could cook cookies?­ 
 A good cook could cook as much cookies as a good cook who could cook cookies.­  如果一个好的厨师能做小甜饼，那么他能做多少小甜饼呢？
一个好的厨师能做出和其它好厨师一样多的小甜饼。­5. The driver was drunk and drove the doctor's car directly into the deep ditch. 
这个司机喝醉了，他把医生的车开进了一个大深沟里。­6. Whether the weather be fine or whether the weather be not.­Whether the weather
 be cold or whether the weather be hot.­We'll weather the weather whether we like it or not.­无论是晴天或是阴天。­无论是冷或是暖，
­不管喜欢与否，我们都要经受风霜雨露。­7. Peter Piper picked a peck of pickled peppers.­  A peck of pickled peppers Peter Piper 
picked.­  If Peter Piper picked a peck of pickled peppers,­  Where's the peck of pickled peppers Peter Piper picked?­  
彼德派柏捏起一撮泡菜。­  彼德派柏捏起的是一撮泡菜。­  那么彼德派捏起的泡菜在哪儿？­8. I thought a thought. But the thought I thought
 wasn't the thought I thought I thought.­  If the thought I thought I thought had been the thought I thought, I wouldn't 
have thought so much.­  我有一种想法，但是我的这种想法不是我曾经想到的那种想法。如果这种想法是我曾经想到的想法，我就不会想那么多了。
­9. Amid the mists and coldest frosts,­  With barest wrists and stoutest boasts,­  He thrusts his fists against the posts,­  
And still insists he sees the ghosts.­  雾蒙蒙，冰霜冻，­  手腕儿空空，话儿涌，­  只见他猛所拳头往柱子上砸，­  直说自己把鬼碰。
­10. Badmin was able to beat Bill at billiards, but Bill always beat Badmin badly at badminton.­   
巴德明在台球上能够打败比尔，但是打羽毛球比尔常常大败巴德明。­11. Betty beat a bit of butter to make a better butter.­   
贝蒂敲打一小块黄油要做一块更好的奶油面。­12. Rita repeated what Reardon recited when Reardon read the remarks.­

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