Entity Resolution in Unstructured Text Streams |
Author(s): |
| Poornima Nambiar , SAPTHAGIRI COLLEGE OF ENGINEERING |
Keywords: |
| Entity Resolution, Named Entity Recognition, Unstructured Data |
Abstract |
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Entity Resolution is the problem of extracting, matching and resolving real world entities present in different records. Such techniques always play an important role in an organization as the amount of data is growing rapidly and Entity Resolution is useful for managing the quality of data. The information in the unstructured data is said to be important and can be helpful but it is difficult to analyze the unstructured data as it has no meaning and can be difficult for machine to understand. One approach to analyze unstructured data such as text is to recognize the entities i.e. words in a text and label them. The proposed work here uses the Named Entity Recognition which is a subtask of Natural Language Processing technique. |
Other Details |
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Paper ID: IJSRDV4I30958 Published in: Volume : 4, Issue : 3 Publication Date: 01/06/2016 Page(s): 1042-1044 |
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