Showing posts with label neural. Show all posts
Showing posts with label neural. 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...
Enriching the transfer learning with pre-trained lexicon embedding for low-resource neural machine translation
*** Abstract: Most State-Of-The-Art (SOTA) Neural Machine Translation (NMT) systems today achieve outstanding results based only on large pa...
Lexicon-Based vs. Bert-Based Sentiment Analysis: A Comparative Study in Italian
*** Abstract: Recent evolutions in the e-commerce market have led to an increasing importance attributed by consumers to product reviews mad...
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 ...
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 ...
Implementation of Recurrent Network for Emotion Recognition of Twitter Data
*** Abstract: A new generation of emoticons, called emojis, is being largely used for both mobile and social media communications. Emojis a...
Lexicon-Enhanced Attention Network Based on Text Representation for Sentiment Classification
*** Abstract Text representation learning is an important but challenging issue for various natural language processing tasks. Recently, de...
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...
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...
Natural Language Processing (Almost) from Scratch
*** Abstract: We propose a unified neural network architecture and learning algorithm that can be applied to various natural language proces...
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