Subjectivity Analysis
18 papers with code • 2 benchmarks • 2 datasets
A related task to sentiment analysis is the subjectivity analysis with the goal of labeling an opinion as either subjective or objective.
Benchmarks
These leaderboards are used to track progress in Subjectivity Analysis
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SUBJ
Latest papers with no code
Long-Distance Dependencies Don't Have to Be Long: Simplifying through Provably (Approximately) Optimal Permutations
Neural models at the sentence level often operate on the constituent words/tokens in a way that encodes the inductive bias of processing the input in a similar fashion to how humans do.
BUSEM at SemEval-2017 Task 4A Sentiment Analysis with Word Embedding and Long Short Term Memory RNN Approaches
This paper describes our approach for SemEval-2017 Task 4: Sentiment Analysis in Twitter.
Sentiment Identification in Code-Mixed Social Media Text
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.
Contextual Bidirectional Long Short-Term Memory Recurrent Neural Network Language Models: A Generative Approach to Sentiment Analysis
We introduce a novel type of LM using a modified version of bidirectional LSTM (BLSTM) called contextual BLSTM (cBLSTM), where the probability of a word is estimated based on its full left and right contexts.
A Joint Sentiment-Target-Stance Model for Stance Classification in Tweets
Classifying the stance expressed in online microblogging social media is an emerging problem in opinion mining.
Sentiment/Subjectivity Analysis Survey for Languages other than English
This paper surveys different ways used for building systems for subjective and sentiment analysis for languages other than English.
