Showing posts with label convolutional. Show all posts
Showing posts with label convolutional. Show all posts
A Novel Approach for Emotion Detection and Sentiment Analysis for Low Resource Urdu Language Based on CNN-LSTM
*** Abstract: Emotion detection (ED) and sentiment analysis (SA) play a vital role in identifying an individual’s level of interest in any g...
A survey on deep learning for textual emotion analysis in social networks
*** Abstract Textual Emotion Analysis (TEA) aims to extract and analyze user emotional states in texts. Various Deep Learning (DL) methods...
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...
Lexicon-Based Sentiment Convolutional Neural Networks for Online Review Analysis
*** Abstract: With the growing availability and popularity of sentiment-rich resources like blogs and online reviews, new opportunities and ...
Deep Learning approach for sentiment analysis of short texts
*** Abstract: Unstructured text data produced on the internet grows rapidly, and sentiment analysis for short texts becomes a challenge beca...
Effective Use of Word Order for Text Categorization with Convolutional Neural Networks
*** Abstract: Convolutional neural network (CNN) is a neural network that can make use of the internal structure of data such as the 2D stru...
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