Sentiment Analysis using Deep Convolutional Neural Networks with Distant Supervision
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Summary
The CNN presented in this thesis is part of an ensemble which ranked 1st in the SemEval-2016 competition, Task 4a, and further demonstrates the potential these systems have in the field of sentiment analysis.
- Type
- article
- Published
- 2016-01-01
- Cited by
- 2
- References
- 45
- Access
- Open access
- OpenAlex
- https://openalex.org/W2512156027
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:151435437
Keywords
Convolutional neural network, Artificial intelligence, Computer science, Natural language processing
References
- ADADELTA: An Adaptive Learning Rate Method
- Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews
- Improved Part-of-Speech Tagging for Online Conversational Text with Word Clusters
- Rectified Linear Units Improve Restricted Boltzmann Machines
- cuDNN: Efficient Primitives for Deep Learning
- Intriguing properties of neural networks
- Semi-supervised Convolutional Neural Networks for Text Categorization via Region Embedding
- Convolutional Neural Networks for Sentence Classification
- Fully convolutional networks for semantic segmentation
- Recognizing Contextual Polarity in Phrase-Level Sentiment Analysis
- Twitter Sentiment Analysis with Deep Convolutional Neural Networks
- Going deeper with convolutions
- Webis: An Ensemble for Twitter Sentiment Detection
- Swiss-Chocolate: Sentiment Detection using Sparse SVMs and Part-Of-Speech n-Grams
- Structural Opinion Mining for Graph-based Sentiment Representation
- #TagSpace: Semantic Embeddings from Hashtags
- Mining the peanut gallery: opinion extraction and semantic classification of product reviews
- LIBLINEAR: A Library for Large Linear Classification
- A Convolutional Neural Network for Modelling Sentences
- Structured Models for Fine-to-Coarse Sentiment Analysis
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