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?
machine-learning model deep-learning analysis
asked Nov 14 at 22:31
fgao
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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
asked Nov 14 at 22:31
fgao
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
Please check "Which site?" for general issues.
– Prune
Nov 14 at 23:29
add a comment |
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
asked Nov 14 at 22:31
fgao
1
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
asked Nov 14 at 22:31
fgao
1
asked Nov 14 at 22:31
fgao
1
asked Nov 14 at 22:31
fgao
1
asked Nov 14 at 22:31
fgao
1
asked Nov 14 at 22:31
fgao
1
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
Please check "Which site?" for general issues.
– Prune
Nov 14 at 23:29
add a comment |
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
add a comment |
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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