Text mining Wikipedia to discover alternative destinations
This paper discusses an application of some statistical Natural Language Processing algorithms to a set of articles from Wikipedia about top tourist destinations. The objective is to automatically identify the key features of each destination and then discover other destinations which share similar...
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| Format: | Conference Proceeding |
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2018
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th-cmuir.6653943832-476452018-04-25T08:42:20Z Text mining Wikipedia to discover alternative destinations Kenneth Cosh This paper discusses an application of some statistical Natural Language Processing algorithms to a set of articles from Wikipedia about top tourist destinations. The objective is to automatically identify the key features of each destination and then discover other destinations which share similar sets of features. Through this a method is demonstrated by which meta data about each article can be extracted from the unstructured text and then used to answer complex discovery type queries. The paper compares an approach to automatically clustering similar destinations with a more user driven feature focused technique. © 2013 IEEE. 2018-04-25T08:42:20Z 2018-04-25T08:42:20Z 2013-09-09 Conference Proceeding 2-s2.0-84883394861 10.1109/JCSSE.2013.6567317 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84883394861&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/47645 |
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Thailand |
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This paper discusses an application of some statistical Natural Language Processing algorithms to a set of articles from Wikipedia about top tourist destinations. The objective is to automatically identify the key features of each destination and then discover other destinations which share similar sets of features. Through this a method is demonstrated by which meta data about each article can be extracted from the unstructured text and then used to answer complex discovery type queries. The paper compares an approach to automatically clustering similar destinations with a more user driven feature focused technique. © 2013 IEEE. |
| format |
Conference Proceeding |
| author |
Kenneth Cosh |
| spellingShingle |
Kenneth Cosh Text mining Wikipedia to discover alternative destinations |
| author_facet |
Kenneth Cosh |
| author_sort |
Kenneth Cosh |
| title |
Text mining Wikipedia to discover alternative destinations |
| title_short |
Text mining Wikipedia to discover alternative destinations |
| title_full |
Text mining Wikipedia to discover alternative destinations |
| title_fullStr |
Text mining Wikipedia to discover alternative destinations |
| title_full_unstemmed |
Text mining Wikipedia to discover alternative destinations |
| title_sort |
text mining wikipedia to discover alternative destinations |
| publishDate |
2018 |
| url |
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84883394861&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/47645 |
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