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How exactly do I extract the important features from strings for machine learning?


How to choose the features for a neural network?Machine learning - features engineering from date/time dataHow to select features from text data?Identifying important interactions between features using machine learningFilling missing values for important featuresThe automatic construction of new features from raw dataHow to extract relative importance of features from a tensorflow DNNRegressor model?Using python and machine learning to extract information from an invoice? Inital dataset?Extract features from a surveyHow exactly do I go about extracting features from timestamps for machine learning?













0












$begingroup$


Forgive me for my ignorance. Linked below is an image of my dataset with 1000 tuples.



https://i.stack.imgur.com/WHIlx.png



I have the following questions
(1) How exactly do I go about extracting information from the Ad topic line?
(2) How should I approach the categorical variables Country and City? ( I've heard about encoding but won't the large number of countries/cities be a problem?)



Thank you so much for your time. All help is greatly appreciated.










share|improve this question









New contributor




Apollo is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.







$endgroup$
















    0












    $begingroup$


    Forgive me for my ignorance. Linked below is an image of my dataset with 1000 tuples.



    https://i.stack.imgur.com/WHIlx.png



    I have the following questions
    (1) How exactly do I go about extracting information from the Ad topic line?
    (2) How should I approach the categorical variables Country and City? ( I've heard about encoding but won't the large number of countries/cities be a problem?)



    Thank you so much for your time. All help is greatly appreciated.










    share|improve this question









    New contributor




    Apollo is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
    Check out our Code of Conduct.







    $endgroup$














      0












      0








      0





      $begingroup$


      Forgive me for my ignorance. Linked below is an image of my dataset with 1000 tuples.



      https://i.stack.imgur.com/WHIlx.png



      I have the following questions
      (1) How exactly do I go about extracting information from the Ad topic line?
      (2) How should I approach the categorical variables Country and City? ( I've heard about encoding but won't the large number of countries/cities be a problem?)



      Thank you so much for your time. All help is greatly appreciated.










      share|improve this question









      New contributor




      Apollo is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.







      $endgroup$




      Forgive me for my ignorance. Linked below is an image of my dataset with 1000 tuples.



      https://i.stack.imgur.com/WHIlx.png



      I have the following questions
      (1) How exactly do I go about extracting information from the Ad topic line?
      (2) How should I approach the categorical variables Country and City? ( I've heard about encoding but won't the large number of countries/cities be a problem?)



      Thank you so much for your time. All help is greatly appreciated.







      machine-learning feature-selection feature-extraction feature-engineering






      share|improve this question









      New contributor




      Apollo is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.











      share|improve this question









      New contributor




      Apollo is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.









      share|improve this question




      share|improve this question








      edited Mar 20 at 6:17







      Apollo













      New contributor




      Apollo is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.









      asked Mar 19 at 20:29









      ApolloApollo

      61




      61




      New contributor




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      New contributor





      Apollo is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.






      Apollo is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.




















          1 Answer
          1






          active

          oldest

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          0












          $begingroup$

          (1) How exactly do I go about extracting information from the Ad topic line?



          The best way to deal with the test string is to Convert it into a term-document matrix and calculate the TFIDF Scores for every word in the string.



          (2) How should I approach the categorical variables Country and City? ( I've heard about encoding but won't a large number of countries/cities be a problem?)



          Yes you said the right large number of cities will be a problem i suggest still you can go with that, Rather there is a way find out the distribution of all your cities and cities and convert them into integers.
          Even another way could be give weights to the cities which are repeated most,let me give you an example:



          Suppose you have 10 observations and 5 cities A(5 times),B(2 times),C(once),D(Once),E(Once):



          so A will get a weight of 5/10=0.5 which B will get a weight of 2/10=0.2 and so on.



          Hope this helps!






          share|improve this answer









          $endgroup$












          • $begingroup$
            Thank you for your response! Could you please walk me through the matrix conversion and score calculation in python?
            $endgroup$
            – Apollo
            22 hours ago










          Your Answer





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          1 Answer
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          1 Answer
          1






          active

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          active

          oldest

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          active

          oldest

          votes









          0












          $begingroup$

          (1) How exactly do I go about extracting information from the Ad topic line?



          The best way to deal with the test string is to Convert it into a term-document matrix and calculate the TFIDF Scores for every word in the string.



          (2) How should I approach the categorical variables Country and City? ( I've heard about encoding but won't a large number of countries/cities be a problem?)



          Yes you said the right large number of cities will be a problem i suggest still you can go with that, Rather there is a way find out the distribution of all your cities and cities and convert them into integers.
          Even another way could be give weights to the cities which are repeated most,let me give you an example:



          Suppose you have 10 observations and 5 cities A(5 times),B(2 times),C(once),D(Once),E(Once):



          so A will get a weight of 5/10=0.5 which B will get a weight of 2/10=0.2 and so on.



          Hope this helps!






          share|improve this answer









          $endgroup$












          • $begingroup$
            Thank you for your response! Could you please walk me through the matrix conversion and score calculation in python?
            $endgroup$
            – Apollo
            22 hours ago















          0












          $begingroup$

          (1) How exactly do I go about extracting information from the Ad topic line?



          The best way to deal with the test string is to Convert it into a term-document matrix and calculate the TFIDF Scores for every word in the string.



          (2) How should I approach the categorical variables Country and City? ( I've heard about encoding but won't a large number of countries/cities be a problem?)



          Yes you said the right large number of cities will be a problem i suggest still you can go with that, Rather there is a way find out the distribution of all your cities and cities and convert them into integers.
          Even another way could be give weights to the cities which are repeated most,let me give you an example:



          Suppose you have 10 observations and 5 cities A(5 times),B(2 times),C(once),D(Once),E(Once):



          so A will get a weight of 5/10=0.5 which B will get a weight of 2/10=0.2 and so on.



          Hope this helps!






          share|improve this answer









          $endgroup$












          • $begingroup$
            Thank you for your response! Could you please walk me through the matrix conversion and score calculation in python?
            $endgroup$
            – Apollo
            22 hours ago













          0












          0








          0





          $begingroup$

          (1) How exactly do I go about extracting information from the Ad topic line?



          The best way to deal with the test string is to Convert it into a term-document matrix and calculate the TFIDF Scores for every word in the string.



          (2) How should I approach the categorical variables Country and City? ( I've heard about encoding but won't a large number of countries/cities be a problem?)



          Yes you said the right large number of cities will be a problem i suggest still you can go with that, Rather there is a way find out the distribution of all your cities and cities and convert them into integers.
          Even another way could be give weights to the cities which are repeated most,let me give you an example:



          Suppose you have 10 observations and 5 cities A(5 times),B(2 times),C(once),D(Once),E(Once):



          so A will get a weight of 5/10=0.5 which B will get a weight of 2/10=0.2 and so on.



          Hope this helps!






          share|improve this answer









          $endgroup$



          (1) How exactly do I go about extracting information from the Ad topic line?



          The best way to deal with the test string is to Convert it into a term-document matrix and calculate the TFIDF Scores for every word in the string.



          (2) How should I approach the categorical variables Country and City? ( I've heard about encoding but won't a large number of countries/cities be a problem?)



          Yes you said the right large number of cities will be a problem i suggest still you can go with that, Rather there is a way find out the distribution of all your cities and cities and convert them into integers.
          Even another way could be give weights to the cities which are repeated most,let me give you an example:



          Suppose you have 10 observations and 5 cities A(5 times),B(2 times),C(once),D(Once),E(Once):



          so A will get a weight of 5/10=0.5 which B will get a weight of 2/10=0.2 and so on.



          Hope this helps!







          share|improve this answer












          share|improve this answer



          share|improve this answer










          answered Mar 20 at 11:05









          Kartik PatnaikKartik Patnaik

          112




          112











          • $begingroup$
            Thank you for your response! Could you please walk me through the matrix conversion and score calculation in python?
            $endgroup$
            – Apollo
            22 hours ago
















          • $begingroup$
            Thank you for your response! Could you please walk me through the matrix conversion and score calculation in python?
            $endgroup$
            – Apollo
            22 hours ago















          $begingroup$
          Thank you for your response! Could you please walk me through the matrix conversion and score calculation in python?
          $endgroup$
          – Apollo
          22 hours ago




          $begingroup$
          Thank you for your response! Could you please walk me through the matrix conversion and score calculation in python?
          $endgroup$
          – Apollo
          22 hours ago










          Apollo is a new contributor. Be nice, and check out our Code of Conduct.









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          Apollo is a new contributor. Be nice, and check out our Code of Conduct.












          Apollo is a new contributor. Be nice, and check out our Code of Conduct.











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