Doc da9d3b7da42c4f6ba2582404c9efc412-1b659c75b61647e78846fd71d0ec1bc7

Extracted names

Names:	8
Male:	6
Female:	2
Unknown:	0
Points :	79.35

Polar Name Explorer .NET Core Component is a class library that allows your .NET applications to extract and parse names and surnames from text, get the gender of the name, and country of origin.

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The website is created using this component as a demonstration of its functionality.
Component is a class library that allows your .NET applications to extract and parse names and surnames from text, get the gender of the name, and country of origin.
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Parse tree of personal name Paul Allen in JSON view

This is a display of the first parsed personal name from the list of parsed names, in JSON tree format. Personal name is: Paul Allen

{RecordId: "77dcc8aba9c8485ebdbc4864a5028886",
Begin: 0,
End: 9,
TitleField: {Begin: 0,
End: 0,
Text: null,
Points: 0,
NamePhrases: null
},
FirstNameField: {Begin: 0,
End: 3,
Text: "Paul",
Points: 0,
NamePhrases: [{Begin: 0,
End: 3,
Text: "Paul",
NameTokens: [{Text: "Paul",
Begin: 0,
End: 3,
Type: "name",
FirstNameFactor: 47.74,
LastNameFactor: 3.92,
CountryElements: [{Country: "GB",
Frequency: 1526191,
FrequencyNormalized: 99.70379395823706,
Popularity: 2.0927392831186205,
Significance: 36.56851577758789
},
{Country: "US",
Frequency: 1272682,
FrequencyNormalized: 90.3792861781404,
Popularity: 0.3839746592811791,
Significance: 30.49427604675293
},
{Country: "NL",
Frequency: 184475,
FrequencyNormalized: 95.0735478609961,
Popularity: 1.3257721261647804,
Significance: 4.420139312744141
}
],
LanguageElements: [{Text: "paul",
Language: "af",
Count: 15,
CountNormalized: 2.71
},
{Text: "paul",
Language: "bs",
Count: 3391,
CountNormalized: 42.3
},
{Text: "paul",
Language: "cs",
Count: 8318,
CountNormalized: 46.43
},
{Text: "paul",
Language: "da",
Count: 6653,
CountNormalized: 48
},
{Text: "paul",
Language: "de",
Count: 11876,
CountNormalized: 50.53
},
{Text: "paul",
Language: "en",
Count: 58529,
CountNormalized: 56.14
},
{Text: "paul",
Language: "eo",
Count: 12,
CountNormalized: 0.69
},
{Text: "paul",
Language: "es",
Count: 34600,
CountNormalized: 55.1
},
{Text: "paul",
Language: "et",
Count: 5211,
CountNormalized: 47.83
},
{Text: "paul",
Language: "eu",
Count: 271,
CountNormalized: 29.31
},
{Text: "paul",
Language: "fi",
Count: 11332,
CountNormalized: 51.69
},
{Text: "paul",
Language: "fr",
Count: 21991,
CountNormalized: 53.89
},
{Text: "paul",
Language: "gl",
Count: 130,
CountNormalized: 23.31
},
{Text: "paul",
Language: "he",
Count: 63,
CountNormalized: 19.8
},
{Text: "paul",
Language: "hr",
Count: 11449,
CountNormalized: 48.81
},
{Text: "paul",
Language: "hu",
Count: 17479,
CountNormalized: 53.12
},
{Text: "paul",
Language: "id",
Count: 3790,
CountNormalized: 45.24
},
{Text: "paul",
Language: "is",
Count: 767,
CountNormalized: 37.29
},
{Text: "paul",
Language: "it",
Count: 19678,
CountNormalized: 54.29
},
{Text: "paul",
Language: "lt",
Count: 43,
CountNormalized: 10.65
},
{Text: "paul",
Language: "mk",
Count: 154,
CountNormalized: 53.44
},
{Text: "paul",
Language: "ms",
Count: 658,
CountNormalized: 35.23
},
{Text: "paul",
Language: "nl",
Count: 18976,
CountNormalized: 52.06
},
{Text: "paul",
Language: "no",
Count: 3520,
CountNormalized: 44.57
},
{Text: "paul",
Language: "pl",
Count: 16317,
CountNormalized: 51.51
},
{Text: "paul",
Language: "pt",
Count: 16849,
CountNormalized: 52.15
},
{Text: "paul",
Language: "pt_br",
Count: 37813,
CountNormalized: 55.6
},
{Text: "paul",
Language: "ro",
Count: 25868,
CountNormalized: 54.49
},
{Text: "paul",
Language: "ru",
Count: 63,
CountNormalized: 18.26
},
{Text: "paul",
Language: "sk",
Count: 3339,
CountNormalized: 44.99
},
{Text: "paul",
Language: "sl",
Count: 6961,
CountNormalized: 47.48
},
{Text: "paul",
Language: "sq",
Count: 560,
CountNormalized: 31.82
},
{Text: "paul",
Language: "sr",
Count: 7574,
CountNormalized: 44.36
},
{Text: "paul",
Language: "sv",
Count: 8316,
CountNormalized: 48.74
},
{Text: "paul",
Language: "tr",
Count: 22921,
CountNormalized: 55.66
},
{Text: "paul",
Language: "vi",
Count: 1273,
CountNormalized: 39.43
}
],
GenderData: {Gender: "m",
FemalePercent: 1.7525,
MalePercent: 95.18125,
Frequency: 4173511,
GenderDataItemByCountry: [{Gender: "m",
FemalePercent: 0,
MalePercent: 100,
Frequency: 1526191,
Country: "GB"
},
{Gender: "m",
FemalePercent: 0.1,
MalePercent: 99.9,
Frequency: 1272682,
Country: "US"
},
{Gender: "m",
FemalePercent: 0,
MalePercent: 100,
Frequency: 184475,
Country: "NL"
}
]
},
Points: 1,
ValidatedPart: {IsInNameList: true,
IsInExcludeList: false,
MLCalculated: false,
NerEntityTypes: null,
PosTagType: null
},
BadWordsInfos: []
}
],
CountryElements: [{Country: "GB",
Frequency: 1526191,
FrequencyNormalized: 99.70379395823706,
Popularity: 2.0927392831186205,
Significance: 36.56851577758789
},
{Country: "US",
Frequency: 1272682,
FrequencyNormalized: 90.3792861781404,
Popularity: 0.3839746592811791,
Significance: 30.49427604675293
},
{Country: "NL",
Frequency: 184475,
FrequencyNormalized: 95.0735478609961,
Popularity: 1.3257721261647804,
Significance: 4.420139312744141
}
],
LanguageElements: null,
GenderData: {Gender: "m",
FemalePercent: 1.7525,
MalePercent: 95.18125,
Frequency: 4173511,
GenderDataItemByCountry: [{Gender: "m",
FemalePercent: 0,
MalePercent: 100,
Frequency: 1526191,
Country: "GB"
},
{Gender: "m",
FemalePercent: 0.1,
MalePercent: 99.9,
Frequency: 1272682,
Country: "US"
},
{Gender: "m",
FemalePercent: 0,
MalePercent: 100,
Frequency: 184475,
Country: "NL"
}
]
},
Points: 1
}
]
},
LastNameField: {Begin: 5,
End: 9,
Text: "Allen",
Points: 0,
NamePhrases: [{Begin: 5,
End: 9,
Text: "Allen",
NameTokens: [{Text: "Allen",
Begin: 5,
End: 9,
Type: "name",
FirstNameFactor: 3.11,
LastNameFactor: 18.98,
CountryElements: [{Country: "US",
Frequency: 482607,
FrequencyNormalized: 88.97455247574565,
Popularity: 0.18073149490999935,
Significance: 94.49671173095703
},
{Country: "GB",
Frequency: 16864,
FrequencyNormalized: 82.9922575804086,
Popularity: 0.15555175121165074,
Significance: 3.3020503520965576
},
{Country: "NZ",
Frequency: 8713,
FrequencyNormalized: 82.28609261912968,
Popularity: 0.42181203439949033,
Significance: 1.706046223640442
}
],
LanguageElements: [{Text: "allen",
Language: "bs",
Count: 707,
CountNormalized: 29.35
},
{Text: "allen",
Language: "cs",
Count: 1460,
CountNormalized: 32.97
},
{Text: "allen",
Language: "da",
Count: 1359,
CountNormalized: 34.81
},
{Text: "allen",
Language: "de",
Count: 28945,
CountNormalized: 57.63
},
{Text: "allen",
Language: "en",
Count: 7667,
CountNormalized: 41.76
},
{Text: "allen",
Language: "es",
Count: 5030,
CountNormalized: 40.77
},
{Text: "allen",
Language: "et",
Count: 912,
CountNormalized: 32.79
},
{Text: "allen",
Language: "eu",
Count: 28,
CountNormalized: 6.7
},
{Text: "allen",
Language: "fi",
Count: 1835,
CountNormalized: 36.77
},
{Text: "allen",
Language: "fr",
Count: 3334,
CountNormalized: 39.29
},
{Text: "allen",
Language: "gl",
Count: 55,
CountNormalized: 13.88
},
{Text: "allen",
Language: "he",
Count: 16,
CountNormalized: 3.39
},
{Text: "allen",
Language: "hr",
Count: 1869,
CountNormalized: 34.81
},
{Text: "allen",
Language: "hu",
Count: 2529,
CountNormalized: 37.88
},
{Text: "allen",
Language: "id",
Count: 806,
CountNormalized: 31.85
},
{Text: "allen",
Language: "is",
Count: 71,
CountNormalized: 13.94
},
{Text: "allen",
Language: "it",
Count: 3065,
CountNormalized: 39.56
},
{Text: "allen",
Language: "ms",
Count: 428,
CountNormalized: 30.93
},
{Text: "allen",
Language: "nl",
Count: 15862,
CountNormalized: 50.69
},
{Text: "allen",
Language: "no",
Count: 821,
CountNormalized: 31.99
},
{Text: "allen",
Language: "pl",
Count: 2514,
CountNormalized: 37.07
},
{Text: "allen",
Language: "pt",
Count: 2934,
CountNormalized: 38.54
},
{Text: "allen",
Language: "pt_br",
Count: 5227,
CountNormalized: 40.94
},
{Text: "allen",
Language: "ro",
Count: 3644,
CountNormalized: 39.5
},
{Text: "allen",
Language: "ru",
Count: 25,
CountNormalized: 7.48
},
{Text: "allen",
Language: "sk",
Count: 499,
CountNormalized: 28.28
},
{Text: "allen",
Language: "sl",
Count: 1167,
CountNormalized: 32.93
},
{Text: "allen",
Language: "sq",
Count: 171,
CountNormalized: 20.77
},
{Text: "allen",
Language: "sr",
Count: 970,
CountNormalized: 28.95
},
{Text: "allen",
Language: "sv",
Count: 1524,
CountNormalized: 34.96
},
{Text: "allen",
Language: "tr",
Count: 3531,
CountNormalized: 40.8
},
{Text: "allen",
Language: "vi",
Count: 385,
CountNormalized: 28.13
}
],
GenderData: null,
Points: 1,
ValidatedPart: {IsInNameList: true,
IsInExcludeList: false,
MLCalculated: false,
NerEntityTypes: null,
PosTagType: null
},
BadWordsInfos: []
}
],
CountryElements: [{Country: "US",
Frequency: 482607,
FrequencyNormalized: 88.97455247574565,
Popularity: 0.18073149490999935,
Significance: 94.49671173095703
},
{Country: "GB",
Frequency: 16864,
FrequencyNormalized: 82.9922575804086,
Popularity: 0.15555175121165074,
Significance: 3.3020503520965576
},
{Country: "NZ",
Frequency: 8713,
FrequencyNormalized: 82.28609261912968,
Popularity: 0.42181203439949033,
Significance: 1.706046223640442
}
],
LanguageElements: null,
GenderData: null,
Points: 1
}
]
},
QualifierField: {Begin: 0,
End: 0,
Text: null,
Points: 0,
NamePhrases: null
},
PointScoreNameData: {TotalNamePoints: 86.73,
FullNamePointScore: 0,
FirstNamePoints: 76.59666022178448,
LastNamePoints: 76.43626502921398
},
PointScoreMLModel1Debug: {FN1Country1Frequency: 99.7038,
FN1Country1Significance: 36.568516,
LN1Country1Frequency: 88.974556,
LN1Country1Significance: 94.49671,
FN1LanguageDicFrequency: 56.14,
LN1LanguageDicFrequency: 57.63,
IsFN1Country1LangSameFN1LangDic: true,
IsLN1Country1LangSameLN1LangDic: false,
IsFN1LN1WordLanguageDicSame: false,
IsFN1LN1Country1Same: false,
IsFN1LN1Country1LangSame: false,
IsValidFullName: false
},
GenderData: {Gender: "m",
FemalePercent: 1.7525,
MalePercent: 95.18125,
Frequency: 4173511,
GenderDataItemByCountry: [{Gender: "m",
FemalePercent: 0,
MalePercent: 100,
Frequency: 1526191,
Country: "GB"
},
{Gender: "m",
FemalePercent: 0.1,
MalePercent: 99.9,
Frequency: 1272682,
Country: "US"
},
{Gender: "m",
FemalePercent: 0,
MalePercent: 100,
Frequency: 184475,
Country: "NL"
}
]
},
CountryData: {FirstNameCountryPhrases: [{Text: "Paul",
CountryElements: [{Country: "GB",
Frequency: 1526191,
FrequencyNormalized: 99.70379395823706,
Popularity: 2.0927392831186205,
Significance: 36.56851577758789
},
{Country: "US",
Frequency: 1272682,
FrequencyNormalized: 90.3792861781404,
Popularity: 0.3839746592811791,
Significance: 30.49427604675293
},
{Country: "NL",
Frequency: 184475,
FrequencyNormalized: 95.0735478609961,
Popularity: 1.3257721261647804,
Significance: 4.420139312744141
}
]
}
],
LastNameCountryPhrases: [{Text: "Allen",
CountryElements: [{Country: "US",
Frequency: 482607,
FrequencyNormalized: 88.97455247574565,
Popularity: 0.18073149490999935,
Significance: 94.49671173095703
},
{Country: "GB",
Frequency: 16864,
FrequencyNormalized: 82.9922575804086,
Popularity: 0.15555175121165074,
Significance: 3.3020503520965576
},
{Country: "NZ",
Frequency: 8713,
FrequencyNormalized: 82.28609261912968,
Popularity: 0.42181203439949033,
Significance: 1.706046223640442
}
]
}
]
},
AlternateNames: [],
ParsedName: "Paul Allen",
FullName: "Paul Allen",
Title: null,
FirstName: "Paul",
LastName: "Allen",
Qualifier: null,
OriginalName: "Paul Allen"
}

CSV data view

Names:8 Male:6 Female:2 Unknown:0 Points:79.35

CSV

FAQ

What is Name Explorer?

Name Explorer is a platform to work with names. Use this Name Explorer to automatically extract names of people from text data.
It provides functionality to do name extracting and parsing, name genderizing, name matching, name formatting, and more.

Is Name Extractor free?

Yes. We made it as simple as possible.

How can I use it

Just put text in any format in the textbox or up to 5 URL, and press the button "Extract Names", "Extract Names from URL". After that, you will get extracted names in form of first last name, gender, and other data point.