On the public citation graph

Aspect-Based Sentiment Analysis in Hindi Language by Ensembling Pre-Trained mBERT Models

https://doi.org/10.3390/electronics10212641
0 signed · 67 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-319-75487-1_19openalex-snapshot
Aspect Based Sentiment Analysis: Category Detection and Sentiment Classification for Hindi
inferredcites →https://doi.org/10.1007/s10462-016-9508-4openalex-snapshot
Multilingual sentiment analysis: from formal to informal and scarce resource languages
inferredcites →https://doi.org/10.1016/j.eswa.2020.113234openalex-snapshot
Aspect-based sentiment analysis using adaptive aspect-based lexicons
inferredcites →https://doi.org/10.1016/j.future.2020.08.005openalex-snapshot
ABCDM: An Attention-based Bidirectional CNN-RNN Deep Model for sentiment analysis
inferredcites →https://doi.org/10.1016/j.inffus.2018.11.001openalex-snapshot
Fusion of EEG response and sentiment analysis of products review to predict customer satisfaction
inferredcites →https://doi.org/10.1016/j.neucom.2018.09.049openalex-snapshot
Using a stacked residual LSTM model for sentiment intensity prediction
inferredcites →https://doi.org/10.1016/j.neunet.2017.01.013openalex-snapshot
Prediction of advertisement preference by fusing EEG response and sentiment analysis
inferredcites →https://doi.org/10.1109/access.2020.2978511openalex-snapshot
Enhancing BERT Representation With Context-Aware Embedding for Aspect-Based Sentiment Analysis
inferredcites →https://doi.org/10.1109/mis.2016.31openalex-snapshot
Affective Computing and Sentiment Analysis
inferredcites →https://doi.org/10.1109/ssci.2018.8628718openalex-snapshot
BabelSenticNet: A Commonsense Reasoning Framework for Multilingual Sentiment Analysis
inferredcites →https://doi.org/10.1109/taffc.2019.2926724openalex-snapshot
All-in-One: Emotion, Sentiment and Intensity Prediction Using a Multi-Task Ensemble Framework
inferredcites →https://doi.org/10.1109/tcss.2020.2993585openalex-snapshot
Movie Recommendation System Using Sentiment Analysis From Microblogging Data
inferredcites →https://doi.org/10.1609/aaai.v32i1.12048openalex-snapshot
Targeted Aspect-Based Sentiment Analysis via Embedding Commonsense Knowledge into an Attentive LSTM
inferredcites →https://doi.org/10.18653/v1/d16-1058openalex-snapshot
Attention-based LSTM for Aspect-level Sentiment Classification
inferredcites →https://doi.org/10.18653/v1/d17-1047openalex-snapshot
Recurrent Attention Network on Memory for Aspect Sentiment Analysis
inferredcites →https://doi.org/10.18653/v1/d18-1377openalex-snapshot
IARM: Inter-Aspect Relation Modeling with Memory Networks in Aspect-Based Sentiment Analysis
inferredcites →https://doi.org/10.18653/v1/d19-1464openalex-snapshot
Aspect-based Sentiment Classification with Aspect-specific Graph Convolutional Networks
inferredcites →https://doi.org/10.18653/v1/d19-1549openalex-snapshot
Syntax-Aware Aspect Level Sentiment Classification with Graph Attention Networks
inferredcites →https://doi.org/10.18653/v1/d19-5505openalex-snapshot
Exploiting BERT for End-to-End Aspect-based Sentiment Analysis
inferredcites →https://doi.org/10.18653/v1/k19-1091openalex-snapshot
Learning to Detect Opinion Snippet for Aspect-Based Sentiment Analysis
inferredcites →https://doi.org/10.18653/v1/n18-1202openalex-snapshot
Deep Contextualized Word Representations
inferredcites →https://doi.org/10.18653/v1/n18-2045openalex-snapshot
Recurrent Entity Networks with Delayed Memory Update for Targeted Aspect-Based Sentiment Analysis
inferredcites →https://doi.org/10.18653/v1/p19-1462openalex-snapshot
Context-aware Embedding for Targeted Aspect-based Sentiment Analysis
inferredcites →https://doi.org/10.24963/ijcai.2017/568openalex-snapshot
Interactive Attention Networks for Aspect-Level Sentiment Classification
inferredcites →https://doi.org/10.24963/ijcai.2019/707openalex-snapshot
Deep Mask Memory Network with Semantic Dependency and Context Moment for Aspect Level Sentiment Classification
inferredcites →https://doi.org/10.24963/ijcai.2019/751openalex-snapshot
Adapting BERT for Target-Oriented Multimodal Sentiment Classification
inferredcites →https://doi.org/10.3115/1118693.1118704openalex-snapshot
Thumbs up?
inferredcites →https://doi.org/10.3115/976909.979640openalex-snapshot
Predicting the semantic orientation of adjectives
inferredcites →https://doi.org/10.3115/v1/d14-1162openalex-snapshot
Glove: Global Vectors for Word Representation
inferredcites →https://doi.org/10.3115/v1/s14-2036openalex-snapshot
DCU: Aspect-based Polarity Classification for SemEval Task 4
inferredcites →https://doi.org/10.3115/v1/s14-2076openalex-snapshot
NRC-Canada-2014: Detecting Aspects and Sentiment in Customer Reviews
inferredcites →https://doi.org/10.3115/v1/s14-2135openalex-snapshot
UNITOR: Aspect Based Sentiment Analysis with Structured Learning
inferredcites →https://doi.org/10.3390/electronics9020374openalex-snapshot
Exploring Impact of Age and Gender on Sentiment Analysis Using Machine Learning
inferredcites →https://doi.org/10.48550/arxiv.1904.02232openalex-snapshot
BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis

What points at this work

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

inferred← citeshttps://doi.org/10.1007/978-3-032-18477-1_49openalex-snapshot
INSAG: An Agentic AI Model for Sentiment Analysis from Indian Code-Mixed Language
inferred← citeshttps://doi.org/10.1007/978-981-96-1501-8_6openalex-snapshot
CAML Model for Computational Linguistics
inferred← citeshttps://doi.org/10.1007/978-981-97-8090-7_30openalex-snapshot
EXB_RNN: A Hybrid Ensemble Approach for Enhanced Aspect-Based Sentiment Analysis
inferred← citeshttps://doi.org/10.1007/s10115-024-02200-9openalex-snapshot
Aspect-based sentiment analysis: approaches, applications, challenges and trends
inferred← citeshttps://doi.org/10.1007/s10462-022-10215-3openalex-snapshot
Aspect-based sentiment analysis: an overview in the use of Arabic language
inferred← citeshttps://doi.org/10.1007/s10579-024-09753-9openalex-snapshot
DoSLex: automatic generation of all domain semantically rich sentiment lexicon
inferred← citeshttps://doi.org/10.1007/s41870-023-01430-4openalex-snapshot
Enhanced Hindi Aspect-based Sentiment Analysis using Class Balancing Approach
inferred← citeshttps://doi.org/10.1080/00051144.2023.2284026openalex-snapshot
An approach to improve the accuracy of rating prediction for recommender systems
inferred← citeshttps://doi.org/10.1109/access.2024.3396290openalex-snapshot
BharatBhasaNet-A Unified Framework to Identify Indian Code Mix Languages
inferred← citeshttps://doi.org/10.1109/access.2024.3398635openalex-snapshot
Sentiment Analysis in Low-Resource Settings: A Comprehensive Review of Approaches, Languages, and Data Sources
inferred← citeshttps://doi.org/10.1109/aist55798.2022.10065317openalex-snapshot
Computation Analysis for Identifying the Protagonist and Antagonist and their Sentiments in Harry Potter Books
inferred← citeshttps://doi.org/10.1109/ciees66347.2025.11300080openalex-snapshot
Benchmarking Machine Learning Techniques in Under-Resourced Contexts: Analysis of Public Perceptions of Government Policies from South Karnataka Reddit Discourse
inferred← citeshttps://doi.org/10.1109/dicct61038.2024.10532960openalex-snapshot
Machine Learning Based Aspect Category Detection for Hindi Data Using TF-IDF and Count Vectorization
inferred← citeshttps://doi.org/10.1109/ecce64574.2025.11013276openalex-snapshot
The Unspoken Words: Leveraging Transformer-based Approaches for Detecting Depression from Social Media
inferred← citeshttps://doi.org/10.1109/icacite57410.2023.10182886openalex-snapshot
Abenet: An emotion recognition for Bengali language
inferred← citeshttps://doi.org/10.1109/icaiccit60255.2023.10466118openalex-snapshot
Rule-Based Approach in Aspect-Based Sentiment Analysis of Hindi Text
inferred← citeshttps://doi.org/10.1109/iccubea58933.2023.10392226openalex-snapshot
A Review of Challenges in Aspect-Based Sentiment Analysis Sub-tasks in Resource-scarce Indian Languages
inferred← citeshttps://doi.org/10.1109/iicaiet67254.2025.11264885openalex-snapshot
Performance and Efficiency Trade-offs in Transformer Models for Kannada Sentiment Analysis
inferred← citeshttps://doi.org/10.1109/iitcee64140.2025.10915281openalex-snapshot
Sentiment Detection Using X-NLP: Harnessing Advanced NLP Techniques
inferred← citeshttps://doi.org/10.1145/3557895openalex-snapshot
Semantic and Context Understanding for Sentiment Analysis in Hindi Handwritten Character Recognition Using a Multiresolution Technique
inferred← citeshttps://doi.org/10.1145/3608949openalex-snapshot
Pelican Optimization Algorithm with Deep Learning for Aspect based Sentiment Analysis on Asian Low Resource Languages
inferred← citeshttps://doi.org/10.1145/3653299openalex-snapshot
Cross-Domain Aspect-Based Sentiment Classification with a Pre-Training and Fine-Tuning Strategy for Low-Resource Domains
inferred← citeshttps://doi.org/10.17485/ijst/v17i7.2766openalex-snapshot
Deep Learning-Based Aspect Term Extraction for Sentiment Analysis in Hindi
inferred← citeshttps://doi.org/10.17762/ijritcc.v11i9s.7401openalex-snapshot
A Comprehensive Review of Sentiment Analysis on Indian Regional Languages: Techniques, Challenges, and Trends
inferred← citeshttps://doi.org/10.32604/jai.2024.049685openalex-snapshot
Leveraging Pre-Trained Word Embedding Models for Fake Review Identification
inferred← citeshttps://doi.org/10.33851/jmis.2021.8.4.221openalex-snapshot
Hindi Correspondence of Bengali Nominal Suffixes
inferred← citeshttps://doi.org/10.33851/jmis.2022.9.1.61openalex-snapshot
Analysis on Review Data of Restaurants in Google Maps through Text Mining: Focusing on Sentiment Analysis
inferred← citeshttps://doi.org/10.3390/data8030046openalex-snapshot
Analysis of Government Policy Sentiment Regarding Vacation during the COVID-19 Pandemic Using the Bidirectional Encoder Representation from Transformers (BERT)
inferred← citeshttps://doi.org/10.3390/math11214493openalex-snapshot
Low-Resource Language Processing Using Improved Deep Learning with Hunter–Prey Optimization Algorithm
inferred← citeshttps://doi.org/10.48084/etasr.11176openalex-snapshot
Design and Development of an Efficient Ensemble Model for Aspect-Based Sentiment Analysis
inferred← citeshttps://doi.org/10.55248/gengpi.2023.31886openalex-snapshot
Survey on Aspect Based Sentimental Analysis using Deep Learning Techniques
inferred← citeshttps://doi.org/10.7232/jkiie.2025.51.1.036openalex-snapshot
Multilingual Aspect-based Sentiment Analysis Using Pre-trained Language Models: A Focus on Hotel Reviews
inferred← citeshttps://doi.org/10.7717/peerj-cs.1425openalex-snapshot
A semi supervised approach to Arabic aspect category detection using Bert and teacher-student model
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.