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Sentiment Analysis for a Resource Poor Language—Roman Urdu

https://doi.org/10.1145/3329709
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Using Diversity in Preparing Ensembles of Classifiers Based on Different Feature Subsets to Minimize Generalization Error
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Overview of Supervised Learning
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Overview of Supervised Learning
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Sentiment Analysis System for Roman Urdu
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Lexicon Based Sentiment Analysis of Urdu Text Using SentiUnits
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Effective Use of Evaluation Measures for the Validation of Best Classifier in Urdu Sentiment Analysis
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Sentiment analysis algorithms and applications: A survey
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Sentiment classification of Roman-Urdu opinions using Naïve Bayesian, Decision Tree and KNN classification techniques
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A survey on opinion mining and sentiment analysis: Tasks, approaches and applications
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Evaluation of Features on Sentimental Analysis
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Perceptron-based learning algorithms
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A comparison of methods for multiclass support vector machines
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Sentiment Analysis in Arabic tweets
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New Avenues in Opinion Mining and Sentiment Analysis
inferredcites →https://doi.org/10.1109/taffc.2015.2444846openalex-snapshot
Sentiment Analysis: From Opinion Mining to Human-Agent Interaction
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A New Approach to Describe Web Services
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CLASSIFICATION OF IMBALANCED DATA: A REVIEW
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Urdu Sentiment Analysis Using Supervised Machine Learning Approach
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A training algorithm for optimal margin classifiers
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Sentiment analysis in multiple languages
inferredcites →https://doi.org/10.1145/2436256.2436274openalex-snapshot
Techniques and applications for sentiment analysis
inferredcites →https://doi.org/10.1145/3129290openalex-snapshot
Urdu Named Entity Recognition and Classification System Using Artificial Neural Network
inferredcites →https://doi.org/10.1162/coli_a_00049openalex-snapshot
Lexicon-Based Methods for Sentiment Analysis
inferredcites →https://doi.org/10.1177/001316446002000104openalex-snapshot
A Coefficient of Agreement for Nominal Scales
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Detection of Sentiment Polarity of Unstructured Multi-Language Text from Social Media
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Recurrent Convolutional Neural Networks for Text Classification
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Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing
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Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank
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A Practical Guide to Sentiment Annotation: Challenges and Solutions
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Ethnologue: Languages of the world . Tenth edition. Ed. by Barbara F. Grimes Dallas: Wycliffe Bible Translators, 1984. Pp. xvii, 592. - Index to the Tenth edition of Ethnologue: Languages of the world . Ed. by Barbara F. Grimes Dallas: Wycliffe Bible Translators, 1984. Pp. 225.
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Thumbs up?
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Convolutional Neural Networks for Sentence Classification
inferredcites →https://doi.org/10.48550/arxiv.1201.0490openalex-snapshot
Scikit-learn: Machine Learning in Python
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Approaches, Tools and Applications for Sentiment Analysis Implementation
inferredcites →https://doi.org/10.5121/cseij.2014.4601openalex-snapshot
Roman Urdu Opinion Mining System (Ruomis)
inferredcites →https://doi.org/10.5555/1672983.1673010openalex-snapshot
Sentiment analysis of Chinese documents: From sentence to document level
inferredcites →https://doi.org/10.63317/47akcj8foo4dopenalex-snapshot
Twitter as a Corpus for Sentiment Analysis and Opinion Mining

What points at this work

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

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Sentiment Analysis‐Based Model for Monitoring User Engagement With Mental Health Chatbots
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Evaluation of Representation Models for Text Classification with AutoML Tools
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Harnessing Supervised Machine Learning for Sentiment Analysis in Urdu Text
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Movie-LSTM and Lexicon Technique-Based Movie Review Analysis
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Machine Learning-Based Binary Sentiment Classification of Movie Reviews in Hindi (Devanagari Script)
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Urdu Sentiment Analysis: A Review
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Abusive language detection from social media comments using conventional machine learning and deep learning approaches
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Towards robust Malagasy NLP: a novel corpus and evaluation framework for sentiment analysis
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A Roman Urdu Corpus for sentiment analysis
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Automatic Detection of Offensive Language for Urdu and Roman Urdu
inferred← citeshttps://doi.org/10.1109/access.2020.3030885openalex-snapshot
A Precisely Xtreme-Multi Channel Hybrid Approach for Roman Urdu Sentiment Analysis
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RUTUT: Roman Urdu to Urdu Translator Based on Character Substitution Rules and Unicode Mapping
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Deep Learning Based Cross Domain Sentiment Classification for Urdu Language
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Category-Based Sentiment Analysis of Sindhi News Headlines Using Machine Learning, Deep Learning, and Transformer Models
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Sentiment Analysis of Code-Mixed Roman Urdu-English Social Media Text using Deep Learning Approaches
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Opinion Mining System For Domain Specific Mobile Application Development
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Opinion Mining of Politics and Inflation using Roman Urdu Dataset
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Evaluating Hate Speech Detection in Roman Urdu Using BERT and Various Learning Approaches: A Comparative Study
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Syntactically and Semantically Annotated Hindi Corpus for an Opinion Mining System
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Analyzing Public Sentiment: A Deep Dive into Twitter Discourse on the 2022 No Confidence Motion in Pakistan
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Sentiment Analysis for Early Detection of Booking Cancellations Using Machine Learning
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Sentiment Analysis of Political Party News on the Online News Portal Detik.com Using LSTM and CNN
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Word-level Language Identification and Localization in Code-Mixed Urdu-English Text
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Comparison of CNN-LSTM in Sentiment Analysis for Hindi Mix Language
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Classifying Emotions in Roman Urdu Posts using Machine Learning
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Roman Urdu Sentiment Analysis Using Pre-trained DistilBERT and XLNet
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Hate Speech Detection in Roman Urdu
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An Unsupervised Approach for Sentiment Analysis on Social Media Short Text Classification in Roman Urdu
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Emotion Detection in Code-Mixed Roman Urdu - English Text
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A Comprehensive Roadmap on Bangla Text-based Sentiment Analysis
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Image–Text Multimodal Sentiment Analysis Framework of Assamese News Articles Using Late Fusion
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Towards Enhanced Identification of Emotion from Resource-Constrained Language through a novel Multilingual BERT Approach
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SEEUNRS: Semantically Enriched Entity-Based Urdu News Recommendation System
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Detecting Empathy in Roman Urdu Using Transfer Learning
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Towards Development of New Language Resource for Urdu: The Large Vocabulary Word Embeddings
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Count Me Too: Sentiment Analysis of Roman Sindhi Script
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BI-SENT: bilingual aspect-based sentiment analysis of COVID-19 Tweets in Urdu language
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GunadarmaXBRIN at SemEval-2023 Task 12: Utilization of SVM and AfriBERTa for Monolingual, Multilingual, and Zero-shot Sentiment Analysis in African Languages
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Sentiment Analysis on Roman Urdu Students’ Feedback Using Enhanced Word Embedding Technique
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High performance stemming algorithm to handle multi-level inflections in Urdu Language
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High performance stemming algorithm to handle multi-level inflections in Urdu Language
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Sentiment Analysis of Roman-Urdu Tweets about Covid-19 Using Machine Learning Approach: A Systematic Literature Review
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Sentiment Analysis of Roman Urdu on E-Commerce Reviews Using Machine Learning
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A Precisely Xtreme-Multi Channel Hybrid Approach For Roman Urdu Sentiment Analysis
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inferred← citeshttps://doi.org/10.7287/peerj-cs.665v0.1/reviews/1openalex-snapshot
Peer Review #1 of "Identifying vulgarity in Bengali social media textual content (v0.1)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.665v0.1/reviews/2openalex-snapshot
Peer Review #2 of "Identifying vulgarity in Bengali social media textual content (v0.1)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.665v0.1/reviews/3openalex-snapshot
Peer Review #3 of "Identifying vulgarity in Bengali social media textual content (v0.1)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.665v0.2/reviews/2openalex-snapshot
Peer Review #2 of "Identifying vulgarity in Bengali social media textual content (v0.2)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.896v0.1/reviews/1openalex-snapshot
Peer Review #1 of "Multi-label emotion classification of Urdu tweets (v0.1)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.896v0.1/reviews/2openalex-snapshot
Peer Review #2 of "Multi-label emotion classification of Urdu tweets (v0.1)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.896v0.1/reviews/3openalex-snapshot
Peer Review #3 of "Multi-label emotion classification of Urdu tweets (v0.1)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.896v0.2/reviews/1openalex-snapshot
Peer Review #1 of "Multi-label emotion classification of Urdu tweets (v0.2)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.896v0.3/reviews/1openalex-snapshot
Peer Review #1 of "Multi-label emotion classification of Urdu tweets (v0.3)"
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Sentiment analysis techniques, challenges, and opportunities: Urdu language-based analytical study
inferred← citeshttps://doi.org/10.7717/peerj-cs.665openalex-snapshot
Identifying vulgarity in Bengali social media textual content
inferred← citeshttps://doi.org/10.7717/peerj-cs.896openalex-snapshot
Multi-label emotion classification of Urdu tweets
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