Specifics on sentiment analysis











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I am working on a bot that uses sentiment analysis to analyze questions from people in the health care insurance realm. One of the main things we do is connect people with care through a find care tool. The basic questions people ask are in the form "I need a new doctor" or "I need to see a dermatologist". When the sentiment is negative we want to pass the user on to customer service, but as we just discovered, any statement starting with "I need" is considered a negative statement by LUIS' built in sentiment analysis. This is a big problem for us!



If there is a way to tweak that, please someone let me know, though I don't hold out much hope. But I would like to understand - why was that decision made? Why is a simple "I need" question considered negative instead of neutral?










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    Please see my older question stackoverflow.com/questions/48428284/… Unfortunately the default sentiment detection in LUIS has the same base.
    – Ferdinand Fejskid
    Nov 8 at 11:42










  • thank you @FerdinandFejskid I will attempt to contact the machine learning team directly at the email in your answer and see if there is anything I can do. Btw, I did not find your original question when I searched, so thanks again.
    – hengist
    Nov 8 at 18:36















up vote
2
down vote

favorite












I am working on a bot that uses sentiment analysis to analyze questions from people in the health care insurance realm. One of the main things we do is connect people with care through a find care tool. The basic questions people ask are in the form "I need a new doctor" or "I need to see a dermatologist". When the sentiment is negative we want to pass the user on to customer service, but as we just discovered, any statement starting with "I need" is considered a negative statement by LUIS' built in sentiment analysis. This is a big problem for us!



If there is a way to tweak that, please someone let me know, though I don't hold out much hope. But I would like to understand - why was that decision made? Why is a simple "I need" question considered negative instead of neutral?










share|improve this question




















  • 1




    Please see my older question stackoverflow.com/questions/48428284/… Unfortunately the default sentiment detection in LUIS has the same base.
    – Ferdinand Fejskid
    Nov 8 at 11:42










  • thank you @FerdinandFejskid I will attempt to contact the machine learning team directly at the email in your answer and see if there is anything I can do. Btw, I did not find your original question when I searched, so thanks again.
    – hengist
    Nov 8 at 18:36













up vote
2
down vote

favorite









up vote
2
down vote

favorite











I am working on a bot that uses sentiment analysis to analyze questions from people in the health care insurance realm. One of the main things we do is connect people with care through a find care tool. The basic questions people ask are in the form "I need a new doctor" or "I need to see a dermatologist". When the sentiment is negative we want to pass the user on to customer service, but as we just discovered, any statement starting with "I need" is considered a negative statement by LUIS' built in sentiment analysis. This is a big problem for us!



If there is a way to tweak that, please someone let me know, though I don't hold out much hope. But I would like to understand - why was that decision made? Why is a simple "I need" question considered negative instead of neutral?










share|improve this question















I am working on a bot that uses sentiment analysis to analyze questions from people in the health care insurance realm. One of the main things we do is connect people with care through a find care tool. The basic questions people ask are in the form "I need a new doctor" or "I need to see a dermatologist". When the sentiment is negative we want to pass the user on to customer service, but as we just discovered, any statement starting with "I need" is considered a negative statement by LUIS' built in sentiment analysis. This is a big problem for us!



If there is a way to tweak that, please someone let me know, though I don't hold out much hope. But I would like to understand - why was that decision made? Why is a simple "I need" question considered negative instead of neutral?







sentiment-analysis luis






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edited Nov 7 at 22:54

























asked Nov 7 at 22:31









hengist

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  • 1




    Please see my older question stackoverflow.com/questions/48428284/… Unfortunately the default sentiment detection in LUIS has the same base.
    – Ferdinand Fejskid
    Nov 8 at 11:42










  • thank you @FerdinandFejskid I will attempt to contact the machine learning team directly at the email in your answer and see if there is anything I can do. Btw, I did not find your original question when I searched, so thanks again.
    – hengist
    Nov 8 at 18:36














  • 1




    Please see my older question stackoverflow.com/questions/48428284/… Unfortunately the default sentiment detection in LUIS has the same base.
    – Ferdinand Fejskid
    Nov 8 at 11:42










  • thank you @FerdinandFejskid I will attempt to contact the machine learning team directly at the email in your answer and see if there is anything I can do. Btw, I did not find your original question when I searched, so thanks again.
    – hengist
    Nov 8 at 18:36








1




1




Please see my older question stackoverflow.com/questions/48428284/… Unfortunately the default sentiment detection in LUIS has the same base.
– Ferdinand Fejskid
Nov 8 at 11:42




Please see my older question stackoverflow.com/questions/48428284/… Unfortunately the default sentiment detection in LUIS has the same base.
– Ferdinand Fejskid
Nov 8 at 11:42












thank you @FerdinandFejskid I will attempt to contact the machine learning team directly at the email in your answer and see if there is anything I can do. Btw, I did not find your original question when I searched, so thanks again.
– hengist
Nov 8 at 18:36




thank you @FerdinandFejskid I will attempt to contact the machine learning team directly at the email in your answer and see if there is anything I can do. Btw, I did not find your original question when I searched, so thanks again.
– hengist
Nov 8 at 18:36












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Sentiment analysis cannot be changed as LUIS relies on Microsoft's Text Analytics to produce a result. In addition to Ferdinand's comment suggestion, you could do one of the following, as well.



Suggest different utterances that produce a more positive result. Using 'find a doctor' produces a positive result where as 'I need a doctor' does not.



The Azure team has a ML learning lab repo that shows how to develop your own text analytics. It would require more effort but would offer you the ability to get the kind of sentiment analysis you are looking for.






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    1 Answer
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    up vote
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    down vote













    Sentiment analysis cannot be changed as LUIS relies on Microsoft's Text Analytics to produce a result. In addition to Ferdinand's comment suggestion, you could do one of the following, as well.



    Suggest different utterances that produce a more positive result. Using 'find a doctor' produces a positive result where as 'I need a doctor' does not.



    The Azure team has a ML learning lab repo that shows how to develop your own text analytics. It would require more effort but would offer you the ability to get the kind of sentiment analysis you are looking for.






    share|improve this answer

























      up vote
      0
      down vote













      Sentiment analysis cannot be changed as LUIS relies on Microsoft's Text Analytics to produce a result. In addition to Ferdinand's comment suggestion, you could do one of the following, as well.



      Suggest different utterances that produce a more positive result. Using 'find a doctor' produces a positive result where as 'I need a doctor' does not.



      The Azure team has a ML learning lab repo that shows how to develop your own text analytics. It would require more effort but would offer you the ability to get the kind of sentiment analysis you are looking for.






      share|improve this answer























        up vote
        0
        down vote










        up vote
        0
        down vote









        Sentiment analysis cannot be changed as LUIS relies on Microsoft's Text Analytics to produce a result. In addition to Ferdinand's comment suggestion, you could do one of the following, as well.



        Suggest different utterances that produce a more positive result. Using 'find a doctor' produces a positive result where as 'I need a doctor' does not.



        The Azure team has a ML learning lab repo that shows how to develop your own text analytics. It would require more effort but would offer you the ability to get the kind of sentiment analysis you are looking for.






        share|improve this answer












        Sentiment analysis cannot be changed as LUIS relies on Microsoft's Text Analytics to produce a result. In addition to Ferdinand's comment suggestion, you could do one of the following, as well.



        Suggest different utterances that produce a more positive result. Using 'find a doctor' produces a positive result where as 'I need a doctor' does not.



        The Azure team has a ML learning lab repo that shows how to develop your own text analytics. It would require more effort but would offer you the ability to get the kind of sentiment analysis you are looking for.







        share|improve this answer












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        share|improve this answer










        answered Nov 8 at 18:51









        Steven Kanberg

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