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Found 12 papers, 5 papers with code
Global Hierarchical Neural Networks using Hierarchical Softmax
In all datasets the hierarchical softmax improved on the regular softmax used in a flat classifier in terms of macro-F1 and macro-recall.
A General Survey on Attention Mechanisms in Deep Learning
Attention is an important mechanism that can be employed for a variety of deep learning models across many different domains and tasks.
A Survey on Aspect-Based Sentiment Classification
With the constantly growing number of reviews and other sentiment-bearing texts on the Web, the demand for automatic sentiment analysis algorithms continues to expand.
Adversarial Training for a Hybrid Approach to Aspect-Based Sentiment Analysis
The increasing popularity of the Web has subsequently increased the abundance of reviews on products and services.
Aspect-Based Sentiment Analysis
Aspect-Based Sentiment Analysis (ABSA)
Utilizing Textual Reviews in Latent Factor Models for Recommender Systems
Most of the existing recommender systems are based only on the rating data, and they ignore other sources of information that might increase the quality of recommendations, such as textual reviews, or user and item characteristics.
Explaining a Neural Attention Model for Aspect-Based Sentiment Classification Using Diagnostic Classification
Many high performance machine learning models for Aspect-Based Sentiment Classification (ABSC) produce black box models, and therefore barely explain how they classify a certain sentiment value towards an aspect.
Data Augmentation in a Hybrid Approach for Aspect-Based Sentiment Analysis
Data augmentation is a way to increase the diversity of available data by applying constrained transformations on the original data.
Aspect-Based Sentiment Analysis
Aspect-Based Sentiment Analysis (ABSA)
+2
Pattern Learning for Detecting Defect Reports and Improvement Requests in App Reviews
Online reviews are an important source of feedback for understanding customers.
A Hybrid Approach for Aspect-Based Sentiment Analysis Using Deep Contextual Word Embeddings and Hierarchical Attention
In this paper we extend the state-of-the-art Hybrid Approach for Aspect-Based Sentiment Analysis (HAABSA) method in two directions.
Aspect-Based Sentiment Analysis
Aspect-Based Sentiment Analysis (ABSA)
+1
COMMIT at SemEval-2017 Task 5: Ontology-based Method for Sentiment Analysis of Financial Headlines
This paper describes our submission to Task 5 of SemEval 2017, Fine-Grained Sentiment Analysis on Financial Microblogs and News, where we limit ourselves to performing sentiment analysis on news headlines only (track 2).
