Showing posts with label deep-learning. Show all posts
Showing posts with label deep-learning. Show all posts
An efficient way of text-based emotion analysis from social media using LRA-DNN
*** Abstract: Text devices are effectively and heavily used for interactions these days. Emotion extraction from the text has derived huge ...
Text-Based Emotion Recognition Using Deep Learning Approach
*** Abstract: Sentiment analysis is a method to identify people's attitudes, sentiments, and emotions towards a given goal, such as peop...
Deep Learning-Based Text Emotion Analysis for Legal Anomie
*** Abstract: Text emotion analysis is an effective way for analyzing the emotion of the subjects’ anomie behaviors. This paper proposes a ...
Political Hate Speech Detection and Lexicon Building: A Study in Taiwan
*** Abstract: There is the minimal restriction to users’ speech in cyberspace. The Internet provides a space where people can freely prese...
Deep learning approach to text analysis for human emotion detection from big data
*** Abstract: Emotional recognition has arisen as an essential field of study that can expose a variety of valuable inputs. Emotion can be ...
Deep learning approach to text analysis for human emotion detection from big data
*** Abstract: Emotional recognition has arisen as an essential field of study that can expose a variety of valuable inputs. Emotion can be ...
Deep learning approach to text analysis for human emotion detection from big data
*** Abstract: Emotional recognition has arisen as an essential field of study that can expose a variety of valuable inputs. Emotion can be ...
Learning Causal Representations for Robust Domain Adaptation
*** Abstract: In this study, we investigate a challenging problem, namely, robust domain adaptation, where data from only a single well-labe...
Spider Monkey Crow Optimization Algorithm With Deep Learning for Sentiment Classification and Information Retrieval
*** Abstract: The epidemic increase in online reviews’ growth made the sentiment classification a fascinating domain in academic and industr...
An Attention-Based Unsupervised Adversarial Model for Movie Review Spam Detection
*** Abstract: With the prevalence of the Internet, online reviews have become a valuable information resource for people. However, the auth...
Gated Recurrent Neural Network Approach for Multilabel Emotion Detection in Microblogs
*** Abstract: People express their opinions and emotions freely in social media posts and online reviews that contain valuable feedback for ...
An Overview of Unsupervised Deep Feature Representation for Text Categorization
*** Abstract: High-dimensional features are extensively accessible in machine learning and computer vision areas. How to learn an efficient...
Emotion-Semantic-Enhanced Neural Network
*** Abstract: Although sentiment analysis on microblog posts has been studied in depth, sentiment analysis of posts is still challenging bec...
A Context Integrated Model for Multi-label Emotion Detection
*** Abstract: This paper explores the impact of taking the environment within which a tweet is made, on the task of analyzing sentiment orie...
Deep Self-Evolution Clustering
*** Abstract: Clustering is a crucial but challenging task in pattern analysis and machine learning. Existing methods often ignore the comb...
Textual data dimensionality reduction - a deep learning approach
*** Abstract: The growth of Internet has produced a high volume of natural language textual data. Such data can be sparse and may contain u...
Study of text emotion analysis based on deep learning
*** Abstract: In traditional sentiment classification methods, sentiment-based methods rely heavily on the quality and coverage of sentiment...
EmoNet: Fine-Grained Emotion Detection with Gated Recurrent Neural Networks
*** Accurate detection of emotion from natural language has applications ranging from building emotional chatbots to better understanding in...
Emotion Detection and Recognition from Text Using Deep Learning
*** Why emotion detection? Emotion Detection and Recognition from text is a recent field of research that is closely related to Sentiment An...
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