Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Supervised learning require sentiment labeled corpus for training. But it is hard to apply automatic sentiment classification system to new domain because labeled dataset construction costs a lot of time. Meanwhile, researches using Doc2vec based document representation beat out other sentiment classification researches. Hover, these document representation methods only represent documents' context or sentiment. ,  proposed supervised learning scheme for unlabeled corpus and also proposed document representation method which can simultaneously represent documents' context and sentiment.
['Sangheon Lee', 'Xiangdan Jin', 'Wooju Kim']
I am writing a research paper on a idea Sentiment classification for unlabeled dataset using Doc2Vec with JST
[{"from": "human", "value": "I am writing a research paper on a idea Sentiment classification for unlabeled dataset using Doc2Vec with JST"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Supervised learning require sentiment labeled corpus for training. But it is hard to apply automatic sentiment classification system to new domain because labeled dataset construction costs a lot of time. Meanwhile, researches using Doc2vec based document representation beat out other sentiment classification researches. Hover, these document representation methods only represent documents' context or sentiment. ,  proposed supervised learning scheme for unlabeled corpus and also proposed document representation method which can simultaneously represent documents' context and sentiment."}]