I am trying to extract text from a string of html tags with content.
For example:
<CalaisSimpleOutputFormat>
<Country count="13" relevance="0.771" normalized="China">China</Country>
<Country count="4" relevance="0.598">Taiwan</Country>
<City count="3" relevance="0.491" normalized="Beijing,China">Beijing</City>
<NaturalFeature count="3" relevance="0.415">Yellow river</NaturalFeature>
<Organization count="2" relevance="0.491">Communist Party</Organization>
<Region count="2" relevance="0.258">Central Asia</Region>
<Region count="2" relevance="0.315">East Asia</Region>
<City count="1" relevance="0.304" normalized="Shanghai,China">Shanghai</City>
<City count="1" relevance="0.304" normalized="Chongqing,China">Chongqing</City>
<City count="1" relevance="0.101" normalized="Taipei,Taiwan">Taipei</City>
<City count="1" relevance="0.304" normalized="Tianjin,China">Tianjin</City>
<Continent count="1" relevance="0.053">Asia</Continent>
<Country count="1" relevance="0.101" normalized="Japan">Japan</Country>
<Country count="1" relevance="0.304" normalized="Macau">Macau</Country>
<MedicalCondition count="1" relevance="0.160">hereditary monarchies</MedicalCondition>
<NaturalFeature count="1" relevance="0.254">Himalaya</NaturalFeature>
<NaturalFeature count="1" relevance="0.274">Gobi desert</NaturalFeature>
<NaturalFeature count="1" relevance="0.208">Yellow sea</NaturalFeature>
<NaturalFeature count="1" relevance="0.208">Pacific Ocean</NaturalFeature>
<NaturalFeature count="1" relevance="0.291">Great Lakes</NaturalFeature>
<NaturalFeature count="1" relevance="0.231">Yangtze river</NaturalFeature>
<NaturalFeature count="1" relevance="0.274">Taklamakan desert</NaturalFeature>
<NaturalFeature count="1" relevance="0.208">South China sea</NaturalFeature>
<NaturalFeature count="1" relevance="0.231">Tibetan Plateau</NaturalFeature>
<NaturalFeature count="1" relevance="0.208">Bohai sea</NaturalFeature>
<NaturalFeature count="1" relevance="0.208">East sea</NaturalFeature>
<NaturalFeature count="1" relevance="0.254">Tian Shan mountain ranges</NaturalFeature>
<Organization count="1" relevance="0.062">G-20</Organization>
<Organization count="1" relevance="0.073">U.N. Security Council</Organization>
<Organization count="1" relevance="0.062">APEC</Organization>
<Organization count="1" relevance="0.062">BRICS</Organization>
<Organization count="1" relevance="0.062">BCIM</Organization>
<Organization count="1" relevance="0.073">United Nations</Organization>
<Organization count="1" relevance="0.062">Shanghai Cooperation Organisation</Organization>
<Organization count="1" relevance="0.062">World Trade Organization</Organization>
<Organization count="1" relevance="0.105">ROC government</Organization>
<Position count="1" relevance="0.073">permanent member</Position>
<Region count="1" relevance="0.208">East China</Region>
<Region count="1" relevance="0.208">South China</Region>
<Region count="1" relevance="0.254">South Asia</Region>
<Region count="1" relevance="0.184">North China</Region>
<Topics>
<Topic Taxonomy="Calais" Score="0.558">Politics</Topic>
<Topic Taxonomy="Calais" Score="0.534">War_Conflict</Topic>
</Topics>
</CalaisSimpleOutputFormat>
The code has been extract the text successfully from thoes tags with the out put of:
ChinaChongqingShanghaiTaipeiTianjin................
I am wondering if there is a way to extract text one by one or split it with space, so that I can store that into a list. For example:
China
Chongqing
Shanghai
Taipei
......
I have tried the codes like:
Document doc = Jsoup.parse(html);
for (Element a : doc.select("CalaisSimpleOutputFormat")) {
System.out.println(a.text());
}
and
for (Node child : XX.childNodes()) {
if (child instanceof TextNode) {
System.out.println(((TextNode) child).text());
}
}
and
Document doc = Jsoup.parse(html);
Element start = doc.select("CalaisSimpleOutputFormat").first();
String text = start.text();
Both not working... Any suggestions?