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Sentiment Analysis at SEPLN (TASS)-2019: Sentiment Analysis at Tweet level using Deep Learning
This paper describes the system submitted to "Sentiment Analysis at SEPL...
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Leveraging Sparse and Dense Feature Combinations for Sentiment Classification
Neural networks are one of the most popular approaches for many natural ...
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Exploiting Deep Learning for Persian Sentiment Analysis
The rise of social media is enabling people to freely express their opin...
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Sentiment Analysis Based on Deep Learning: A Comparative Study
The study of public opinion can provide us with valuable information. Th...
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A Comprehensive Survey on Aspect Based Sentiment Analysis
Aspect Based Sentiment Analysis (ABSA) is the sub-field of Natural Langu...
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BiERU: Bidirectional Emotional Recurrent Unit for Conversational Sentiment Analysis
Sentiment analysis in conversations has gained increasing attention in r...
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Financial Aspect-Based Sentiment Analysis using Deep Representations
The topic of aspect-based sentiment analysis (ABSA) has been explored fo...
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Deep Learning for Sentiment Analysis : A Survey
Deep learning has emerged as a powerful machine learning technique that learns multiple layers of representations or features of the data and produces state-of-the-art prediction results. Along with the success of deep learning in many other application domains, deep learning is also popularly used in sentiment analysis in recent years. This paper first gives an overview of deep learning and then provides a comprehensive survey of its current applications in sentiment analysis.
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