Best NLP tool for Apache Spark





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I wish to build a NLP based application on Apache Spark which is focused on extracting keyphrases from customer reviews and based on that finding the sentiments of each keyphrase. Can anyone help me in deciding the best NLP tool for spark ? I have used NLTK(natural Language Toolkit) in Spark and looking for a better one.










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  • well, for what task of NLP? doc. classification? information extraction? clustering documents?

    – David Batista
    Nov 16 '18 at 11:58











  • Creating an ETL which focusses mostly on extracting keywords from paragraphs and getting the sentiments out of it. For example extracting keywords from a customer review and then getting sentiment out of it.

    – Nagesh Singh Chauhan
    Nov 16 '18 at 12:01











  • "extracting keywords from a customer review and then getting sentiment out of it", you mean keywords are attributes or characteristics of a product, and then you want to infer the sentiment over each of these attributes, as in, Aspect-based Sentiment Analysis?

    – David Batista
    Nov 16 '18 at 16:17











  • exactly,based on the keywords I want to infer sentiments

    – Nagesh Singh Chauhan
    Nov 17 '18 at 12:48











  • ok, so first suggestion, why not edit your question accordingly, and being specific about what you want and then that you want do to it at large-scale?

    – David Batista
    Nov 17 '18 at 13:12


















-1















I wish to build a NLP based application on Apache Spark which is focused on extracting keyphrases from customer reviews and based on that finding the sentiments of each keyphrase. Can anyone help me in deciding the best NLP tool for spark ? I have used NLTK(natural Language Toolkit) in Spark and looking for a better one.










share|improve this question

























  • well, for what task of NLP? doc. classification? information extraction? clustering documents?

    – David Batista
    Nov 16 '18 at 11:58











  • Creating an ETL which focusses mostly on extracting keywords from paragraphs and getting the sentiments out of it. For example extracting keywords from a customer review and then getting sentiment out of it.

    – Nagesh Singh Chauhan
    Nov 16 '18 at 12:01











  • "extracting keywords from a customer review and then getting sentiment out of it", you mean keywords are attributes or characteristics of a product, and then you want to infer the sentiment over each of these attributes, as in, Aspect-based Sentiment Analysis?

    – David Batista
    Nov 16 '18 at 16:17











  • exactly,based on the keywords I want to infer sentiments

    – Nagesh Singh Chauhan
    Nov 17 '18 at 12:48











  • ok, so first suggestion, why not edit your question accordingly, and being specific about what you want and then that you want do to it at large-scale?

    – David Batista
    Nov 17 '18 at 13:12














-1












-1








-1








I wish to build a NLP based application on Apache Spark which is focused on extracting keyphrases from customer reviews and based on that finding the sentiments of each keyphrase. Can anyone help me in deciding the best NLP tool for spark ? I have used NLTK(natural Language Toolkit) in Spark and looking for a better one.










share|improve this question
















I wish to build a NLP based application on Apache Spark which is focused on extracting keyphrases from customer reviews and based on that finding the sentiments of each keyphrase. Can anyone help me in deciding the best NLP tool for spark ? I have used NLTK(natural Language Toolkit) in Spark and looking for a better one.







apache-spark nlp bigdata nltk






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share|improve this question













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share|improve this question








edited Nov 19 '18 at 4:33







Nagesh Singh Chauhan

















asked Nov 16 '18 at 11:56









Nagesh Singh ChauhanNagesh Singh Chauhan

16716




16716













  • well, for what task of NLP? doc. classification? information extraction? clustering documents?

    – David Batista
    Nov 16 '18 at 11:58











  • Creating an ETL which focusses mostly on extracting keywords from paragraphs and getting the sentiments out of it. For example extracting keywords from a customer review and then getting sentiment out of it.

    – Nagesh Singh Chauhan
    Nov 16 '18 at 12:01











  • "extracting keywords from a customer review and then getting sentiment out of it", you mean keywords are attributes or characteristics of a product, and then you want to infer the sentiment over each of these attributes, as in, Aspect-based Sentiment Analysis?

    – David Batista
    Nov 16 '18 at 16:17











  • exactly,based on the keywords I want to infer sentiments

    – Nagesh Singh Chauhan
    Nov 17 '18 at 12:48











  • ok, so first suggestion, why not edit your question accordingly, and being specific about what you want and then that you want do to it at large-scale?

    – David Batista
    Nov 17 '18 at 13:12



















  • well, for what task of NLP? doc. classification? information extraction? clustering documents?

    – David Batista
    Nov 16 '18 at 11:58











  • Creating an ETL which focusses mostly on extracting keywords from paragraphs and getting the sentiments out of it. For example extracting keywords from a customer review and then getting sentiment out of it.

    – Nagesh Singh Chauhan
    Nov 16 '18 at 12:01











  • "extracting keywords from a customer review and then getting sentiment out of it", you mean keywords are attributes or characteristics of a product, and then you want to infer the sentiment over each of these attributes, as in, Aspect-based Sentiment Analysis?

    – David Batista
    Nov 16 '18 at 16:17











  • exactly,based on the keywords I want to infer sentiments

    – Nagesh Singh Chauhan
    Nov 17 '18 at 12:48











  • ok, so first suggestion, why not edit your question accordingly, and being specific about what you want and then that you want do to it at large-scale?

    – David Batista
    Nov 17 '18 at 13:12

















well, for what task of NLP? doc. classification? information extraction? clustering documents?

– David Batista
Nov 16 '18 at 11:58





well, for what task of NLP? doc. classification? information extraction? clustering documents?

– David Batista
Nov 16 '18 at 11:58













Creating an ETL which focusses mostly on extracting keywords from paragraphs and getting the sentiments out of it. For example extracting keywords from a customer review and then getting sentiment out of it.

– Nagesh Singh Chauhan
Nov 16 '18 at 12:01





Creating an ETL which focusses mostly on extracting keywords from paragraphs and getting the sentiments out of it. For example extracting keywords from a customer review and then getting sentiment out of it.

– Nagesh Singh Chauhan
Nov 16 '18 at 12:01













"extracting keywords from a customer review and then getting sentiment out of it", you mean keywords are attributes or characteristics of a product, and then you want to infer the sentiment over each of these attributes, as in, Aspect-based Sentiment Analysis?

– David Batista
Nov 16 '18 at 16:17





"extracting keywords from a customer review and then getting sentiment out of it", you mean keywords are attributes or characteristics of a product, and then you want to infer the sentiment over each of these attributes, as in, Aspect-based Sentiment Analysis?

– David Batista
Nov 16 '18 at 16:17













exactly,based on the keywords I want to infer sentiments

– Nagesh Singh Chauhan
Nov 17 '18 at 12:48





exactly,based on the keywords I want to infer sentiments

– Nagesh Singh Chauhan
Nov 17 '18 at 12:48













ok, so first suggestion, why not edit your question accordingly, and being specific about what you want and then that you want do to it at large-scale?

– David Batista
Nov 17 '18 at 13:12





ok, so first suggestion, why not edit your question accordingly, and being specific about what you want and then that you want do to it at large-scale?

– David Batista
Nov 17 '18 at 13:12












1 Answer
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I would suggest you to try Spark-NLP, and use a combination of the TextMatcher and the Sentiment Detector-
More docs here,
https://nlp.johnsnowlabs.com/components.html



best,
Alberto.






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    1 Answer
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    1 Answer
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    active

    oldest

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    active

    oldest

    votes









    2














    I would suggest you to try Spark-NLP, and use a combination of the TextMatcher and the Sentiment Detector-
    More docs here,
    https://nlp.johnsnowlabs.com/components.html



    best,
    Alberto.






    share|improve this answer




























      2














      I would suggest you to try Spark-NLP, and use a combination of the TextMatcher and the Sentiment Detector-
      More docs here,
      https://nlp.johnsnowlabs.com/components.html



      best,
      Alberto.






      share|improve this answer


























        2












        2








        2







        I would suggest you to try Spark-NLP, and use a combination of the TextMatcher and the Sentiment Detector-
        More docs here,
        https://nlp.johnsnowlabs.com/components.html



        best,
        Alberto.






        share|improve this answer













        I would suggest you to try Spark-NLP, and use a combination of the TextMatcher and the Sentiment Detector-
        More docs here,
        https://nlp.johnsnowlabs.com/components.html



        best,
        Alberto.







        share|improve this answer












        share|improve this answer



        share|improve this answer










        answered Dec 3 '18 at 0:14









        AlbertoAndreottiAlbertoAndreotti

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