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ActiveGender COM Object |
Proven ActiveX Problem Solvers |
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ActiveGender allows you to quickly and easily build Name
Verification, Parsing and Gender Determination into your custom
applications. Accurately verify whether a particular field contains
a valid individual or company. ActiveGender uses a 100,000 name,
ethnically diverse, dictionary in combination with an 8,000 word company
dictionary to ensure precise gender determination. |
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Name
Verification -
Quickly Identify Incomplete or
incorrect names. |
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Name Standardization - Prefixes and suffixes are abbreviated and standardized to your specifications. |
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Name Parsing - Easily separate dual names in the same field including
hyphenated last names. |
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● Gender Determination
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100,000 name, multi-ethnic dictionary for pinpoint accuracy.
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Vista Compatible |
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A Closer Look |
How ActiveGender Works |
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ActiveGender
accepts free-form names and then automatically
splits them into standard components: Prefix, First, Middle, Last and Suffix no
matter what the original format. Next, using a 100,000 Name Dictionary in
combination with an 8,000 word proprietary Company Dictionary, the gender is
determined with unmatched accuracy. For special cases, such as an all-girl
school, you can easily override the built-in system dictionaries.
ActiveGender can process all styles of names
including inverse, natural order, hyphenated and multi-part last names. Multiple
names in the same field and companies can be easily separated providing you with
powerful formatting control.
As a bonus, when you combine
ActiveGender with
our ActiveAddress product, you can
even tackle
the impossible task of identifying data that has been entered free-form. The
names, addresses and C/S/Z either “float” from field to field or you are just
not sure what's in the field. First,
examine the Address_Quality flag returned from
ActiveAddress. If
set to High or Medium, it's almost certainly an address. If set to Low,
submit the string to ActiveGender for name verification. Using these
techniques you’ll always be certain of the data you're working with.
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ActiveGender starts by carefully
identifying each individual name element based on the Name_Style you’ve
selected. Intuitive algorithms examine the results and a selection is made
of the most complete and correct data. Next, the name elements are split into
their standard components and the user-specified prefix/suffix abbreviations are
applied. Using a 100,000-Name Dictionary in conjunction with
the pre-programmed rules from the 8,000 word Company Dictionary the correct
gender is determined with pinpoint accuracy. The
Name_Quality flag is then set to indicate how complete and correct the name
is. Finally, the standardized name components are returned to your application
along with a complete and cleansed composite name.
Not all gender identification systems are created the same. Most use a simple
table of about 8,000 to 18,000 first names. ActiveGender uses an extensive
100,000 Name Dictionary that was specifically created with a rich ethnic
diversity. This unique and powerful strategy produces results unmatched by any
other software.
ActiveGender is the
only name verification and parsing software that can reliably extract a name
when the format of the name is variable or unknown.
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Name_In |
MR DE LA ROSA, JUAN R OR
MARIA |
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Name_Out |
Male |
Mr Juan R De La Rosa |
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Name2_Out |
Female |
Maria De La Rosa |
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Name_In |
SMITH-LA BELLA JR, JOHN A &
MARY B, PHD |
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Name_Out |
Male |
John A Smith-La Bella Jr |
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Name2_Out |
Female |
Mary B Smith-La Bella PhD |
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Name_In |
MS MARY MYTH C/O THE SOFTWARE COMPANY |
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Name_Out |
Female |
Ms Mary Myth |
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Name2_Out |
Company |
The
Software Company |
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Name_In |
OLEARY-VAN HORN, DALE &
MIKE |
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Name_Out |
Neutral |
Dale O’Leary-Van Horn |
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Name2_Out |
Male |
Mike O’Leary-Van Horn |
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Name_In |
MR J JONES & WIFE MAY |
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Name_Out |
Male |
Mr J Jones |
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Name2_Out |
Female |
May Jones |
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The screen shot above was taken from a sample application created using
VB6. Other samples can be found in the ActiveGender folder. |
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ActiveGender's
precise results are driven by a specially encoded, 100,000-name
dictionary that was specifically created with a rich ethnic diversity. |
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Identify Gender Makeup of Your List for Target
Marketing |
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Prefixes and Suffixes are
Standardized to Your Specifications |
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Nicknames Property; Invaluable
for
Finding Duplicate Names
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Proper Case Conversion for More Attractive
Data Presentation |
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User Updatable Tables So Your Applications Never Go Out-of-Date |
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Royalty Free Run-Time
(License
Agreement) |
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Set Proper Salutations for a More Personalized
List |
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Parse Full Names Into 5 Separate Components |
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FREE Upgrades for a Full Year
(Maintenance
Agreement) |
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Designed for Use With: |
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Visual Basic
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Access
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C++
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Visual FoxPro
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SQL Server and more |
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More Quality Data Tools |
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ActiveAddress
●
Address Validation
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Address Standardization
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Address Parsing
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No Recurring Charges |
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ActiveCase
● Proper Case
Conversion
● Data Translation
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Common Misspellings Correction
● User Expandable
Tables |
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