Sentiment Classification for long transcripts
I applied RNN for sentiment classification problem and this works well for short sentences e.g. in tweets . However, if the sentences are very long, e.g. transcripts of conversations (may be an hour long), it is not working that well. Is there any alternative RNN structure or anything else that can help improve learning of parameters and accuracy of classification?