Global Name:Introduction: Difference between revisions
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Welcome to the Melissa Data Global Name Verification Service. | |||
Global Name is able to parse, genderize, and standardize personal names as well as able to standardize company names. The service can screen out vulgar or obviously fake names. | |||
Welcome to the Melissa Data Global Name Verification | |||
*Parse full names into first, middle and last names, as well as prefixes like “Dr.” and suffixes like “Jr.” | *Parse full names into first, middle and last names, as well as prefixes like “Dr.” and suffixes like “Jr.” | ||
*Handle name strings that include two names, such as “John and Mary Jones.” | *Handle name strings that include two names, such as “John and Mary Jones.” | ||
*Correct misspelled first names | *Correct misspelled first names | ||
*Standardized names with extended and UTF-8 characters will return responses with the proper UTF-8 / accented characters. | |||
*Flag vulgar and obviously fake names, such as “Bugs Bunny.” | *Flag vulgar and obviously fake names, such as “Bugs Bunny.” | ||
*Assign gender based on the first name | *Assign gender based on the first name | ||
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[[Category:Global Name | [[Category:Global Name]] | ||
[[Category:Reference]] | [[Category:Reference]] | ||
Latest revision as of 23:34, 15 March 2024
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Welcome to the Melissa Data Global Name Verification Service. Global Name is able to parse, genderize, and standardize personal names as well as able to standardize company names. The service can screen out vulgar or obviously fake names.
- Parse full names into first, middle and last names, as well as prefixes like “Dr.” and suffixes like “Jr.”
- Handle name strings that include two names, such as “John and Mary Jones.”
- Correct misspelled first names
- Standardized names with extended and UTF-8 characters will return responses with the proper UTF-8 / accented characters.
- Flag vulgar and obviously fake names, such as “Bugs Bunny.”
- Assign gender based on the first name
- Standardize company names