How to improve sentiment analysis model for different usage











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I have trained a sentiment analysis model (using LSTM) by labeled movie reviews dataset.



Now I want to have a model for game reviews, since I only have unlabelled game reviews, is there any way I can improve my movie model to work for game.



The reason is that the reviews for movie are kind of different from reviews for games, especially some special words. And I do not have people help me to label those game reviews. At most I can manually label thousand reviews.



I was thinking any regulation layer can be added to my model. Is there such algorithm?






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up vote
-2
down vote

favorite












I have trained a sentiment analysis model (using LSTM) by labeled movie reviews dataset.



Now I want to have a model for game reviews, since I only have unlabelled game reviews, is there any way I can improve my movie model to work for game.



The reason is that the reviews for movie are kind of different from reviews for games, especially some special words. And I do not have people help me to label those game reviews. At most I can manually label thousand reviews.



I was thinking any regulation layer can be added to my model. Is there such algorithm?






machine-learning model deep-learning analysis







share|improve this question


















  • 1




    Welcome to StackOverflow. Please read and follow the posting guidelines in the help documentation, as suggested when you created this account. On topic, how to ask, and ... the perfect question apply here. StackOverflow is not a design, coding, research, or tutorial resource.
    – Prune
    Nov 14 at 23:29










  • Please check "Which site?" for general issues.
    – Prune
    Nov 14 at 23:29













up vote
-2
down vote

favorite









up vote
-2
down vote

favorite











I have trained a sentiment analysis model (using LSTM) by labeled movie reviews dataset.



Now I want to have a model for game reviews, since I only have unlabelled game reviews, is there any way I can improve my movie model to work for game.



The reason is that the reviews for movie are kind of different from reviews for games, especially some special words. And I do not have people help me to label those game reviews. At most I can manually label thousand reviews.



I was thinking any regulation layer can be added to my model. Is there such algorithm?






machine-learning model deep-learning analysis







share|improve this question













I have trained a sentiment analysis model (using LSTM) by labeled movie reviews dataset.



Now I want to have a model for game reviews, since I only have unlabelled game reviews, is there any way I can improve my movie model to work for game.



The reason is that the reviews for movie are kind of different from reviews for games, especially some special words. And I do not have people help me to label those game reviews. At most I can manually label thousand reviews.



I was thinking any regulation layer can be added to my model. Is there such algorithm?






machine-learning model deep-learning analysis




machine-learning model deep-learning analysis






share|improve this question













share|improve this question











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asked Nov 14 at 22:31









fgao

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    Welcome to StackOverflow. Please read and follow the posting guidelines in the help documentation, as suggested when you created this account. On topic, how to ask, and ... the perfect question apply here. StackOverflow is not a design, coding, research, or tutorial resource.
    – Prune
    Nov 14 at 23:29










  • Please check "Which site?" for general issues.
    – Prune
    Nov 14 at 23:29














  • 1




    Welcome to StackOverflow. Please read and follow the posting guidelines in the help documentation, as suggested when you created this account. On topic, how to ask, and ... the perfect question apply here. StackOverflow is not a design, coding, research, or tutorial resource.
    – Prune
    Nov 14 at 23:29










  • Please check "Which site?" for general issues.
    – Prune
    Nov 14 at 23:29








1




1




Welcome to StackOverflow. Please read and follow the posting guidelines in the help documentation, as suggested when you created this account. On topic, how to ask, and ... the perfect question apply here. StackOverflow is not a design, coding, research, or tutorial resource.
– Prune
Nov 14 at 23:29




Welcome to StackOverflow. Please read and follow the posting guidelines in the help documentation, as suggested when you created this account. On topic, how to ask, and ... the perfect question apply here. StackOverflow is not a design, coding, research, or tutorial resource.
– Prune
Nov 14 at 23:29












Please check "Which site?" for general issues.
– Prune
Nov 14 at 23:29




Please check "Which site?" for general issues.
– Prune
Nov 14 at 23:29

















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