Context-Dependent Sentiment Analysis in User-Generated Videos.
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...…specific use cases include applications such as document classification (Chaturvedi et al., 2016), multi-label text categorization (Chen et al., 2017), multimodal sentiment analysis (Poria et al., 2017; Zadeh et al., 2017; Tong et al., 2017), and subjectivity detection (Chaturvedi et al., 2017)....
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...More specific use cases include applications such as multilabel text categorization [76], multimodal sentiment analysis [77]–[79], and subjectivity detection [80]....
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"Context-Dependent Sentiment Analysi..." refers background in this paper
...LSTM (Hochreiter and Schmidhuber, 1997) is a kind of RNN, an extension of conventional feedforward neural network....
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"Context-Dependent Sentiment Analysi..." refers methods in this paper
...RMSprop has been used as the optimizer which is known to resolve Adagrad’s radically diminishing learning rates (Duchi et al., 2011)....
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"Context-Dependent Sentiment Analysi..." refers methods in this paper
..., 2016c), sentiment analysis researchers have recently been using statistics-based approaches, with a special focus on supervised statistical methods (Socher et al., 2013; Oneto et al., 2016)....
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...…was initially more popular for the identification of polarity in text (Cambria et al., 2016; Poria et al., 2016c), sentiment analysis researchers have recently been using statistics-based approaches, with a special focus on supervised statistical methods (Socher et al., 2013; Oneto et al., 2016)....
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