Refining Word Embeddings with Sentiment Information for Sentiment Analysis (original) (raw)

A Comprehensive Survey of Sentiment Analysis: Word Embeddings Approach, Research Challenges and Opportunities

Shameer Bashir

SSRN Electronic Journal

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Word Embeddings for Sentiment Analysis: A Comprehensive Empirical Survey

Erion Çano

2019

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Sentiment Analysis by Joint Learning of Word Embeddings and Classifier

Bill Sethares

2017

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A Hybrid Deep Learning Architecture for Sentiment Analysis

Ayush Kumar

2016

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WRS: A Novel Word-embedding Method for Real-time Sentiment with Integrated LSTM-CNN Model

Abdur Rasool

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Quality of Word Embeddings on Sentiment Analysis Tasks

Erion Çano

Springer, NLDB 2017 22nd International Conference on Natural Language & Information Systems, Liege, Belgium, 2017

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Hybrid Architecture for Sentiment Analysis Using Deep Learning

Surbhi Gawande

2018

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Sentiment Analysis and Classification Using Deep Semantic Information and Contextual Knowledge

Ahmed Absi

Computers, Materials & Continua

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More than Bags of Words: Sentiment Analysis with Word Embeddings

štefan emrich

Communication Methods and Measures

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Comparative study of deep learning models for sentiment analysis

habib benlahmar

International Journal of Engineering & Technology

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Comparison of Word Embeddings for Sentiment Classification with Preconceived Subjectivity

Hu Ng

2022

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Enhanced sentiment analysis based on improved word embeddings and XGboost

International Journal of Electrical and Computer Engineering (IJECE)

International Journal of Electrical and Computer Engineering (IJECE), 2023

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A Deep Learning Architecture for Sentiment Analysis

Erion Çano

2018 the International Conference on Geoinformatics and Data Analysis, Prague, Czech Republic, 2018

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Contextualized Embedding based Approaches for Social Media-specific Sentiment Analysis

Pratik Ratadiya

2021 International Conference on Data Mining Workshops (ICDMW)

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An effective sentiment classification by using machine learning algorithms and deep convolution neural network

V. Karthika, Shri Ramya Perumal

24TH TOPICAL CONFERENCE ON RADIO-FREQUENCY POWER IN PLASMAS, 2022

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A New Method for Sentiment Analysis Using Contextual Auto-Encoders

Salma Jamoussi

Journal of Computer Science and Technology, 2018

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Sentiment analysis leveraging emotions and word embeddings.

Athena Vakali

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An Optimized Deep ConvNet Sentiment Classification Model with Word Embedding and BiLSTM Technique

Roop Ranjan

Advances in distributed computing and artificial intelligence journal, 2023

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Sentiment Analysis of Text Reviews Using Lexicon-Enhanced Bert Embedding (LeBERT) Model with Convolutional Neural Network

James Mutinda

Applied Sciences

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Novel Semantics-based Distributed Representations for Message Polarity Classification using Deep Convolutional Neural Networks

Mourad Oussalah

Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2017

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Sentiment Analysis Based on Deep Learning: A Comparative Study

Nhan Cach Dang

Electronics, 2020

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Sentiment Analysis on Text Reviews Using Lexicon Selected-Bert Embedding (LeBERT) Model with Convolutional Neural Network

James Mutinda

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UNITN: Training Deep Convolutional Neural Network for Twitter Sentiment Classification

Alessandro Moschitti, Aliaksei Severyn

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Sentiment Classification Using Document Embeddings Trained with Cosine Similarity

Tanasanee Phienthrakul

Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop

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Evaluating the Combination of Word Embeddings with Mixture of Experts and Cascading gcForest in Identifying Sentiment Polarity

Radhika Mamidi

2019

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A Survey of Deep Learning for Sentiment Analysis

Dr Krupa Rasane

2019

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A Novel Deep Learning Method for Textual Sentiment Analysis

Mir Mohsen Pedram

ArXiv, 2021

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Deep Embedding Sentiment Analysis on Product Reviews Using Naive Bayesian Classifier

International Journal of Scientific Research in Computer Science, Engineering and Information Technology IJSRCSEIT

International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2019

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A Multi-Layer Dual Attention Deep Learning Model with Refined Word Embeddings for Aspect-Based Sentiment Analysis

Ameen Banjar

IEEE Access

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BUSEM at SemEval-2017 Task 4A Sentiment Analysis with Word Embedding and Long Short Term Memory RNN Approaches

Arzucan Ozgur

Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)

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A Comparative Analysis of Word Embedding and Deep Learning for Arabic Sentiment Classification

Heba Fasihuddin

Electronics

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Deep Learning for Sentiment Analysis

Jeevan Bala

2018

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