Multi Label Text Classification
$begingroup$
I have a csv file which contain two columns : Name | Detail
Exemple : French & English
- code_application | Code application utilisee
- name_user | first name of user
- location_place | full address of the user
- emailuser | private email of user
- ...... + 100K
My categories are :
- : could be first name, last name ....
- Contact : could be email, phone etc ...
Location : could be address, city, ....
.....+ 20 others catergories
My solution is : for each category i prepare some key words using similarity algorithm
identity : name,first name,last name ....
contact : phone, telephone, number, email, mél
.....+ 20 others catergories
What i want to do ?
I want to have like this classification :
name_user | first name of user -> Identity
code_application | Code application utilisee -> Nothing
location_place | full address of the user -> Location
i know there is a lot of algorithms of classification and machine learning, but what i'm waiting the algorithme be able to combine the keywords of each category and give the score of classification.
Thanks,
machine-learning python classification nlp text-mining
asked 2 days ago
Youness Drissi SlimaniYouness Drissi Slimani
11
$endgroup$
add a comment |
$begingroup$
I have a csv file which contain two columns : Name | Detail
Exemple : French & English
- code_application | Code application utilisee
- name_user | first name of user
- location_place | full address of the user
- emailuser | private email of user
- ...... + 100K
My categories are :
- : could be first name, last name ....
- Contact : could be email, phone etc ...
Location : could be address, city, ....
.....+ 20 others catergories
My solution is : for each category i prepare some key words using similarity algorithm
identity : name,first name,last name ....
contact : phone, telephone, number, email, mél
.....+ 20 others catergories
What i want to do ?
I want to have like this classification :
name_user | first name of user -> Identity
code_application | Code application utilisee -> Nothing
location_place | full address of the user -> Location
i know there is a lot of algorithms of classification and machine learning, but what i'm waiting the algorithme be able to combine the keywords of each category and give the score of classification.
Thanks,
machine-learning python classification nlp text-mining
asked 2 days ago
Youness Drissi SlimaniYouness Drissi Slimani
11
$endgroup$
add a comment |
$begingroup$
I have a csv file which contain two columns : Name | Detail
Exemple : French & English
- code_application | Code application utilisee
- name_user | first name of user
- location_place | full address of the user
- emailuser | private email of user
- ...... + 100K
My categories are :
- : could be first name, last name ....
- Contact : could be email, phone etc ...
Location : could be address, city, ....
.....+ 20 others catergories
My solution is : for each category i prepare some key words using similarity algorithm
identity : name,first name,last name ....
contact : phone, telephone, number, email, mél
.....+ 20 others catergories
What i want to do ?
I want to have like this classification :
name_user | first name of user -> Identity
code_application | Code application utilisee -> Nothing
location_place | full address of the user -> Location
i know there is a lot of algorithms of classification and machine learning, but what i'm waiting the algorithme be able to combine the keywords of each category and give the score of classification.
Thanks,
machine-learning python classification nlp text-mining
asked 2 days ago
Youness Drissi SlimaniYouness Drissi Slimani
11
$endgroup$
I have a csv file which contain two columns : Name | Detail
Exemple : French & English
- code_application | Code application utilisee
- name_user | first name of user
- location_place | full address of the user
- emailuser | private email of user
- ...... + 100K
My categories are :
- : could be first name, last name ....
- Contact : could be email, phone etc ...
Location : could be address, city, ....
.....+ 20 others catergories
My solution is : for each category i prepare some key words using similarity algorithm
identity : name,first name,last name ....
contact : phone, telephone, number, email, mél
.....+ 20 others catergories
What i want to do ?
I want to have like this classification :
name_user | first name of user -> Identity
code_application | Code application utilisee -> Nothing
location_place | full address of the user -> Location
i know there is a lot of algorithms of classification and machine learning, but what i'm waiting the algorithme be able to combine the keywords of each category and give the score of classification.
Thanks,
machine-learning python classification nlp text-mining
machine-learning python classification nlp text-mining
asked 2 days ago
Youness Drissi SlimaniYouness Drissi Slimani
11
asked 2 days ago
Youness Drissi SlimaniYouness Drissi Slimani
11
edited yesterday
Youness Drissi Slimani
asked 2 days ago
Youness Drissi SlimaniYouness Drissi Slimani
11
asked 2 days ago
Youness Drissi SlimaniYouness Drissi Slimani
11
asked 2 days ago
Youness Drissi SlimaniYouness Drissi Slimani
11
11
add a comment |
add a comment |
0
active
oldest
votes
Your Answer
StackExchange.ifUsing("editor", function () {
return StackExchange.using("mathjaxEditing", function () {
StackExchange.MarkdownEditor.creationCallbacks.add(function (editor, postfix) {
StackExchange.mathjaxEditing.prepareWmdForMathJax(editor, postfix, [["$", "$"], ["\\(","\\)"]]);
});
});
}, "mathjax-editing");
StackExchange.ready(function() {
var channelOptions = {
tags: "".split(" "),
id: "557"
};
initTagRenderer("".split(" "), "".split(" "), channelOptions);
StackExchange.using("externalEditor", function() {
// Have to fire editor after snippets, if snippets enabled
if (StackExchange.settings.snippets.snippetsEnabled) {
StackExchange.using("snippets", function() {
createEditor();
});
}
else {
createEditor();
}
});
function createEditor() {
StackExchange.prepareEditor({
heartbeatType: 'answer',
autoActivateHeartbeat: false,
convertImagesToLinks: false,
noModals: true,
showLowRepImageUploadWarning: true,
reputationToPostImages: null,
bindNavPrevention: true,
postfix: "",
imageUploader: {
brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
allowUrls: true
},
onDemand: true,
discardSelector: ".discard-answer"
,immediatelyShowMarkdownHelp:true
});
}
});
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fdatascience.stackexchange.com%2fquestions%2f46870%2fmulti-label-text-classification%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
0
active
oldest
votes
0
active
oldest
votes
active
oldest
votes
active
oldest
votes
Thanks for contributing an answer to Data Science Stack Exchange!
- Please be sure to answer the question. Provide details and share your research!
But avoid …
- Asking for help, clarification, or responding to other answers.
- Making statements based on opinion; back them up with references or personal experience.
Use MathJax to format equations. MathJax reference.
To learn more, see our tips on writing great answers.
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fdatascience.stackexchange.com%2fquestions%2f46870%2fmulti-label-text-classification%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
