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Found 17 papers, 4 papers with code
An Interactive Multi-Task Learning Network for End-to-End Aspect-Based Sentiment Analysis
Aspect-based sentiment analysis produces a list of aspect terms and their corresponding sentiments for a natural language sentence.
Aspect-Based Sentiment Analysis
Aspect-Based Sentiment Analysis (ABSA)
+4
Adaptive Semi-supervised Learning for Cross-domain Sentiment Classification
We consider the cross-domain sentiment classification problem, where a sentiment classifier is to be learned from a source domain and to be generalized to a target domain.
Effective Attention Modeling for Aspect-Level Sentiment Classification
First, we propose a method for target representation that better captures the semantic meaning of the opinion target.
Exploiting Document Knowledge for Aspect-level Sentiment Classification
Attention-based long short-term memory (LSTM) networks have proven to be useful in aspect-level sentiment classification.
An Unsupervised Neural Attention Model for Aspect Extraction
Unlike topic models which typically assume independently generated words, word embedding models encourage words that appear in similar contexts to be located close to each other in the embedding space.
On the Challenges of Translating NLP Research into Commercial Products
This paper highlights challenges in industrial research related to translating research in natural language processing into commercial products.
Character-Based Text Classification using Top Down Semantic Model for Sentence Representation
Despite the success of deep learning on many fronts especially image and speech, its application in text classification often is still not as good as a simple linear SVM on n-gram TF-IDF representation especially for smaller datasets.
Coupled Multi-Layer Attentions for Co-Extraction of Aspect and Opinion Terms
To achieve this task, one effective approach is to exploit relations between aspect terms and opinion terms by parsing syntactic structure for each sentence.
Multi-task memory networks for category-specific aspect and opinion terms co-extraction
This problem involves the identification of aspect and opinion terms within each sentence, as well as the categorization of the identified terms.
Aspect-Based Sentiment Analysis
Aspect-Based Sentiment Analysis (ABSA)
+1
Recursive Neural Conditional Random Fields for Aspect-based Sentiment Analysis
Previous studies have shown that exploiting connections between aspect and opinion terms is promising for this task.
Aspect-Based Sentiment Analysis
Aspect-Based Sentiment Analysis (ABSA)
