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Innovation award
Nominee: 13x
Winner: 2x |
This class can extract proper nouns from texts.
It takes a text string and can detect which words may be proper nouns of people, entities, etc..
It uses some heuristics like the capitalization of the first word letter, the presence of people title preceeding the nouns, etc..
The class may consider consecutive proper names as a single proper name.
The class assumes English by default but may be configure to work with other idioms.
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| Name: |
Proper nouns |
| Base name: |
proper-nouns |
| Description: |
Extract proper nouns from texts |
| Version: |
1.0 |
| PHP version: |
5.0 |
| License: |
BSD License |
| All time users: |
581 users |
| All time rank: |
4515 |
| Week users: |
2 users |
| Week rank: |
1335  |
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June 2011
Number 7
Prize: One year subscription to the PDF edition of the JSMag magazine |
Proper nouns are used to refer to people or other entities in text documents, so they are usually written starting with capital letters.
This class uses that kind of heuristics to identify and extract possible proper nouns used in a given text.
Manuel Lemos |
| Project record: |
proper-nouns |
| Popularity score: |
18.03 |
| Vitality score: |
25.95 |
| Not yet rated by the users |
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