On the public citation graph

A Roman Urdu Corpus for sentiment analysis

https://doi.org/10.1093/comjnl/bxae052
0 signed · 45 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 See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.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/s00138-023-01429-8openalex-snapshot
Pakistan sign language recognition: leveraging deep learning models with limited dataset
inferredcites →https://doi.org/10.1007/s10462-019-09794-5openalex-snapshot
Sentiment analysis using deep learning architectures: a review
inferredcites →https://doi.org/10.1007/s10588-018-9265-9openalex-snapshot
Meta features-based scale invariant OCR decision making using LSTM-RNN
inferredcites →https://doi.org/10.1007/s10639-021-10863-yopenalex-snapshot
Computerization of Off-Topic Essay Detection: A possibility?
inferredcites →https://doi.org/10.1016/j.asej.2014.04.011openalex-snapshot
Sentiment analysis algorithms and applications: A survey
inferredcites →https://doi.org/10.1016/j.ipm.2020.102233openalex-snapshot
Deep sentiments in Roman Urdu text using Recurrent Convolutional Neural Network model
inferredcites →https://doi.org/10.1016/j.jksuci.2015.11.003openalex-snapshot
Sentiment classification of Roman-Urdu opinions using Naïve Bayesian, Decision Tree and KNN classification techniques
inferredcites →https://doi.org/10.1016/j.procs.2019.01.202openalex-snapshot
Deep Learning-Based Sentiment Analysis for Roman Urdu Text
inferredcites →https://doi.org/10.1093/comjnl/bxaa042openalex-snapshot
Deep Extreme Learning Machine-Based Optical Character Recognition System for Nastalique Urdu-Like Script Languages
inferredcites →https://doi.org/10.1093/comjnl/bxaa164openalex-snapshot
Detecting Spam Product Reviews in Roman Urdu Script
inferredcites →https://doi.org/10.1093/comjnl/bxac047openalex-snapshot
Urdu Named Entity Recognition System Using Deep Learning Approaches
inferredcites →https://doi.org/10.1109/access.2018.2878425openalex-snapshot
Lexicon-Enhanced LSTM With Attention for General Sentiment Analysis
inferredcites →https://doi.org/10.1109/access.2019.2908420openalex-snapshot
Discriminative Feature Spamming Technique for Roman Urdu Sentiment Analysis
inferredcites →https://doi.org/10.1109/access.2020.2969854openalex-snapshot
Sentiment Analysis for E-Commerce Product Reviews in Chinese Based on Sentiment Lexicon and Deep Learning
inferredcites →https://doi.org/10.1109/access.2020.2994950openalex-snapshot
Automatic Detection of Offensive Language for Urdu and Roman Urdu
inferredcites →https://doi.org/10.1109/access.2020.3025823openalex-snapshot
Aspect Based Sentiment Analysis of Ridesharing Platform Reviews for Kansei Engineering
inferredcites →https://doi.org/10.1109/access.2020.3030885openalex-snapshot
A Precisely Xtreme-Multi Channel Hybrid Approach for Roman Urdu Sentiment Analysis
inferredcites →https://doi.org/10.1109/access.2021.3064830openalex-snapshot
A ConvBiLSTM Deep Learning Model-Based Approach for Twitter Sentiment Classification
inferredcites →https://doi.org/10.1109/access.2021.3093078openalex-snapshot
Urdu Sentiment Analysis With Deep Learning Methods
inferredcites →https://doi.org/10.1109/accthpa49271.2020.9213236openalex-snapshot
Sentiment Analysis for Predicting Customer Reviews using a Hybrid Approach
inferredcites →https://doi.org/10.1109/icic48496.2019.8966720openalex-snapshot
A Dataset for the Sentiment Analysis of Indo-Pak Music Industry
inferredcites →https://doi.org/10.1109/icic53490.2021.9692987openalex-snapshot
Classification of Sentiments of the Roman Urdu Reviews of Daraz Products using Natural Language Processing Approach
inferredcites →https://doi.org/10.1109/icosst51357.2020.9332979openalex-snapshot
Sentiment Analysis of User Reviews about Hotel in Roman Urdu
inferredcites →https://doi.org/10.1109/tkde.2021.3054782openalex-snapshot
A Unified Collaborative Representation Learning for Neural-Network Based Recommender Systems
inferredcites →https://doi.org/10.1111/coin.12530openalex-snapshot
Meta‐feature based few‐shot Siamese learning for Urdu optical character recognition
inferredcites →https://doi.org/10.1145/3001913.3006644openalex-snapshot
Sentiment analysis of controversial topics on Pakistan's Twitter user-base
inferredcites →https://doi.org/10.1145/3038884.3038904openalex-snapshot
Pashto Sentiment Analysis Using Lexical Features
inferredcites →https://doi.org/10.1145/3329709openalex-snapshot
Sentiment Analysis for a Resource Poor Language—Roman Urdu
inferredcites →https://doi.org/10.1186/s40649-020-00080-xopenalex-snapshot
A review: preprocessing techniques and data augmentation for sentiment analysis
inferredcites →https://doi.org/10.14569/ijacsa.2018.090157openalex-snapshot
Comparative Analysis of Raw Images and Meta Feature based Urdu OCR using CNN and LSTM
inferredcites →https://doi.org/10.22581/muet1982.1902.20openalex-snapshot
Sentiment Analysis for Roman Urdu
inferredcites →https://doi.org/10.3390/systems11080390openalex-snapshot
Developing Multi-Labelled Corpus of Twitter Short Texts: A Semi-Automatic Method
inferredcites →https://doi.org/10.3390/systems11090483openalex-snapshot
Adapting Feature Selection Algorithms for the Classification of Chinese Texts

What points at this work

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

inferred← citeshttps://doi.org/10.1007/s10579-025-09865-wopenalex-snapshot
Part of speech (POS) tagging in Roman Urdu: datasets and models
inferred← citeshttps://doi.org/10.1007/s10772-026-10259-8openalex-snapshot
Multilingual early fusion approach for Alzheimer’s dementia detection, including Urdu
inferred← citeshttps://doi.org/10.1007/s11760-025-04230-4openalex-snapshot
Pakistan Sign Language Recognition: From Videos to Images
inferred← citeshttps://doi.org/10.1093/comjnl/bxae061openalex-snapshot
Thematic editorial: sentiment analysis
inferred← citeshttps://doi.org/10.1093/comjnl/bxaf090openalex-snapshot
High-quality recovery of digital images
inferred← citeshttps://doi.org/10.1093/llc/fqaf124openalex-snapshot
Advancing text summarization with specialized datasets: computer science and geography domains
inferred← citeshttps://doi.org/10.1108/ijwis-09-2024-0277openalex-snapshot
A text classification method combining in-domain pre-training and prompt learning for the steel e-commerce industry
inferred← citeshttps://doi.org/10.1109/ijcnn64981.2025.11229319openalex-snapshot
Towards Roman Urdu Named Entity Recognition: Standardized Dataset and Transformer-Based Approaches
inferred← citeshttps://doi.org/10.1177/01655515251353167openalex-snapshot
Generating alternate endings for short stories
inferred← citeshttps://doi.org/10.1177/1088467x251358150openalex-snapshot
Automated cobb’s angle measurement for scoliosis diagnosis using deep learning techniques
inferred← citeshttps://doi.org/10.20944/preprints202408.1389.v1openalex-snapshot
Improving Mental Health with Machine Learning: Classification of Mental Disorders Using Local Data
inferred← citeshttps://doi.org/10.20944/preprints202408.1391.v1openalex-snapshot
A Novel Technique for Optimizing Volumetric Avatars: From 2D Images to Lightweight 3D Models
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.