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Topic-Based Document-Level Sentiment Analysis Using Contextual Cues

https://doi.org/10.3390/math9212722
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Indexing by latent semantic analysis
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Expressing Sentiments in Game Reviews
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Context Enrichment Model Based Framework for Sentiment Analysis
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Comprehensive Exploration of Game Reviews Extraction and Opinion Mining Using NLP Techniques
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Aspect Categorization Using Domain-Trained Word Embedding and Topic Modelling
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Sentiment analysis using deep learning architectures: a review
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W2VLDA: Almost unsupervised system for Aspect Based Sentiment Analysis
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Sentiment analysis based on improved pre-trained word embeddings
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An optimal support vector machine based classification model for sentimental analysis of online product reviews
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Transformer based Deep Intelligent Contextual Embedding for Twitter sentiment analysis
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Attention-based sentiment analysis using convolutional and recurrent neural network
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ABCDM: An Attention-based Bidirectional CNN-RNN Deep Model for sentiment analysis
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Opinion polarity detection in Twitter data combining shrinkage regression and topic modeling
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Experimental explorations on short text topic mining between LDA and NMF based Schemes
inferredcites →https://doi.org/10.1080/24751839.2020.1790793openalex-snapshot
Social media sentiment analysis based on COVID-19
inferredcites →https://doi.org/10.1109/cscwd49262.2021.9437616openalex-snapshot
A BERT based Sentiment Analysis and Key Entity Detection Approach for Online Financial Texts
inferredcites →https://doi.org/10.1109/focs.2012.49openalex-snapshot
Learning Topic Models -- Going beyond SVD
inferredcites →https://doi.org/10.1109/ialp.2015.7451564openalex-snapshot
Topic2Vec: Learning distributed representations of topics
inferredcites →https://doi.org/10.1109/iccp48234.2019.8959677openalex-snapshot
Sentiment Analysis of Events in Social Media
inferredcites →https://doi.org/10.1109/iccp51029.2020.9266181openalex-snapshot
Sentiment Analysis using Topic-Document Embeddings
inferredcites →https://doi.org/10.1109/icitacee.2018.8576974openalex-snapshot
Sentiment Analysis and Topic Modelling for Identification of Government Service Satisfaction
inferredcites →https://doi.org/10.1109/icsme46990.2020.00025openalex-snapshot
Achieving Reliable Sentiment Analysis in the Software Engineering Domain using BERT
inferredcites →https://doi.org/10.1109/ijcnn.2019.8852406openalex-snapshot
Convolutional Recurrent Neural Networks for Text Classification
inferredcites →https://doi.org/10.1109/synasc.2016.044openalex-snapshot
Extracting Gamers' Opinions from Reviews
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Enriching Word Vectors with Subword Information
inferredcites →https://doi.org/10.13140/2.1.2393.1847openalex-snapshot
Software Framework for Topic Modelling with Large Corpora
inferredcites →https://doi.org/10.18653/v1/n18-1202openalex-snapshot
Deep Contextualized Word Representations
inferredcites →https://doi.org/10.18653/v1/n18-2034openalex-snapshot
Mittens: an Extension of GloVe for Learning Domain-Specialized Representations
inferredcites →https://doi.org/10.18653/v1/n19-1326openalex-snapshot
Misspelling Oblivious Word Embeddings
inferredcites →https://doi.org/10.18653/v1/n19-1423openalex-snapshot
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
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Issues in evaluating semantic spaces using word analogies
inferredcites →https://doi.org/10.21437/interspeech.2010-343openalex-snapshot
Recurrent neural network based language model
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REVIEW OF DATA PRE-PROCESSING TECHNIQUES IN DATA MINING
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Glove: Global Vectors for Word Representation
inferredcites →https://doi.org/10.3115/v1/d14-1181openalex-snapshot
Convolutional Neural Networks for Sentence Classification
inferredcites →https://doi.org/10.3390/make1030048openalex-snapshot
A CNN-BiLSTM Model for Document-Level Sentiment Analysis
inferredcites →https://doi.org/10.3390/sym11070942openalex-snapshot
An Enhanced Optimization Scheme Based on Gradient Descent Methods for Machine Learning
inferredcites →https://doi.org/10.4230/lipics.cosit.2022.18openalex-snapshot
AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at Scale
inferredcites →https://doi.org/10.48550/arxiv.1201.0490openalex-snapshot
Scikit-learn: Machine Learning in Python
inferredcites →https://doi.org/10.48550/arxiv.1301.3781openalex-snapshot
Efficient Estimation of Word Representations in Vector Space
inferredcites →https://doi.org/10.48550/arxiv.1405.4053openalex-snapshot
Distributed Representations of Sentences and Documents
inferredcites →https://doi.org/10.48550/arxiv.1909.11942openalex-snapshot
ALBERT-Base v2 (albert_base_v2.tar.gz): preservation copy
inferredcites →https://doi.org/10.5120/ijca2015905866openalex-snapshot
Approaches, Tools and Applications for Sentiment Analysis Implementation
inferredcites →https://doi.org/10.5555/944919.944937openalex-snapshot
Latent dirichlet allocation
inferredcites →https://doi.org/10.63317/4b3prw5a5tzeopenalex-snapshot
Advances in Pre-Training Distributed Word Representations
inferredcites →https://doi.org/10.7551/mitpress/1120.003.0082openalex-snapshot
Latent Dirichlet Allocation

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Enhancing Sentiment Analysis Through Topic Modeling: Comprehensive Overview
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A weakly supervised SMOTE-XGBoost framework with sliding-window monitoring for temporal sentiment drift detection
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Multi-dimensional feature interaction for Conversational Aspect-Based Quadruple Sentiment Analysis
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Semantic-enhanced topic evolution analysis: a combination of the dynamic topic model and word2vec
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A hybrid approach for sentiment analysis using fuzzy logic and DistilBERT to address ambiguity and long range dependencies
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inferred← citeshttps://doi.org/10.1016/j.eswa.2022.118695openalex-snapshot
An integrated latent Dirichlet allocation and Word2vec method for generating the topic evolution of mental models from global to local
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Dual-channel relative position guided attention networks for aspect-based sentiment analysis
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GETAE: Graph Information Enhanced Deep Neural NeTwork Ensemble ArchitecturE for fake news detection
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DANES: Deep Neural Network Ensemble Architecture for Social and Textual Context-aware Fake News Detection
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ATESA-BÆRT: A heterogeneous ensemble learning model for Aspect-Based Sentiment Analysis
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A hybrid transformer and attention based recurrent neural network for robust and interpretable sentiment analysis of tweets
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Triple dimensional psychology knowledge encouraging graph attention networks to exploit aspect-based sentiment analysis
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RETRACTED ARTICLE: Modelling the Association Between Social Media Flow Experience and Fake News Sharing: Testing the Mediating Role of Social Media Flow Experience and the Moderating Role of Social Media Scepticism
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SIFG: an ensemble model for sieving fake news from genuine without metadata by combining syntactic and semantic features
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A Parallel Dual-Channel Chinese Offensive Language Detection Method Combining BERT and CTM Topic Information
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STopHC: A Harmful Content Detection and Mitigation Architecture for Social Media Platforms
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Sentiment Analysis on Tourism Villages with Sustainable Tourism Concept Based on Reviews on Google Maps using EMC-GCN and CNN-LSTM
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Object-dependent Document-level Sentiment Analysis Based on Sentence Features
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Sentiment Analysis Based on Super Learning Multimodal Transformer
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Exploring Sentiment Detection in Healthcare: An Exhaustive Analysis
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EDSA-Ensemble: An Event Detection Sentiment Analysis Ensemble Architecture
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SDEC: Semantic Deep Embedded Clustering
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Transfer Learning for Cross-Domain Sentiment Classification via Domain Adaptation
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ContCommRTD: A Distributed Content-Based Misinformation-Aware Community Detection System for Real-Time Disaster Reporting
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Bridging the skills gap: A machine learning approach to align business education with labor market needs in the UAE
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Neural Network and Sentimental Model for Prediction of Stock Trade Value
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Enhancing Arabic Sentiment Analysis of Consumer Reviews: Machine Learning and Deep Learning Methods Based on NLP
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A Suggestion on the LDA-Based Topic Modeling Technique Based on ElasticSearch for Indexing Academic Research Results
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A Novel Approach for Emotion Detection and Sentiment Analysis for Low Resource Urdu Language Based on CNN-LSTM
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A Novel AB-CNN Model for Multi-Classification Sentiment Analysis of e-Commerce Comments
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Supervised and Few-Shot Learning for Aspect-Based Sentiment Analysis of Instruction Prompt
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Comparative Sentiment Analysis of Campaign and Third-Party Communications in the 2024 U.S. Elections
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Augmentation of Sentiment Analysis Models
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Public Attention and Sentiment toward Intimate Partner Violence Based on Weibo in China: A Text Mining Approach
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Navigating the Digital Neurolandscape: Analyzing the Social Perception of and Sentiments Regarding Neurological Disorders through Topic Modeling and Unsupervised Research Using Twitter
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MisRoBÆRTa: Transformers versus Misinformation
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It’s All in the Embedding! Fake News Detection Using Document Embeddings
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Mining Public Opinions on COVID-19 Vaccination: A Temporal Analysis to Support Combating Misinformation
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A Survey of Sentiment Analysis in Halal Tourism Using Machine Learning and Lexicon Approaches for Extracting Sentiment Polarity
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A hybrid transformer architecture for unsupervised aspect‐based sentiment analysis
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THE MANY APPLICATIONS OF SENTIMENT ANALYSIS: A LITERATURE REVIEW
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