A related task to sentiment analysis is the subjectivity analysis with the goal of labeling an opinion as either subjective or objective.
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While some tasks deal with identifying the presence of sentiment in the text (Subjectivity analysis), other tasks aim at determining the polarity of the text categorizing them as positive, negative and neutral.
Weintroduce a novel type of LM using a modified version of bidirectional LSTM(BLSTM) called contextual BLSTM (cBLSTM), where the probability of a word isestimated based on its full left and right contexts.
This paper surveys different ways used for building systems for subjective and sentiment analysis for languages other than English.