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Context-aware Emotion Detection from Low-resource Urdu Language Using Deep Neural Network

https://doi.org/10.1145/3528576
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Associating targets with SentiUnits: a step forward in sentiment analysis of Urdu text
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A corpus-based approach to classifying emotions using Korean linguistic features
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Inferring social network user profiles using a partial social graph
inferredcites →https://doi.org/10.1007/s13278-018-0505-2openalex-snapshot
Emotion detection from text and speech: a survey
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Cross corpus multi-lingual speech emotion recognition using ensemble learning
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A GENERAL PSYCHOEVOLUTIONARY THEORY OF EMOTION
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Negative emotions detection on online mental-health related patients texts using the deep learning with MHA-BCNN model
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Ekman, emotional expression, and the art of empirical epiphany
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Understanding social viewing through discussion network and emotion: A focus on South Korean presidential debates
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An information-theoretic perspective of tf–idf measures
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The Identification of the Emotionality of Metaphorical Expressions Based on a Manually Annotated Chinese Corpus
inferredcites →https://doi.org/10.1109/access.2021.3076264openalex-snapshot
ElStream: An Ensemble Learning Approach for Concept Drift Detection in Dynamic Social Big Data Stream Learning
inferredcites →https://doi.org/10.1109/acii47079.2019openalex-snapshot
2019 8th International Conference on Affective Computing and Intelligent Interaction (ACII)
inferredcites →https://doi.org/10.1109/aiccsa39361.2016openalex-snapshot
2016 IEEE/ACS 13th International Conference of Computer Systems and Applications (AICCSA)
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Building and analysing emotion corpus of the Arabic speech
inferredcites →https://doi.org/10.1109/enic.2014.17openalex-snapshot
Emotion Extraction from Turkish Text
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Exploring Twitter news biases using urdu-based sentiment lexicon
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2019 22nd International Multitopic Conference (INMIC)
inferredcites →https://doi.org/10.1109/intech.2016.7845095openalex-snapshot
Lexicon-based sentiment analysis for Urdu language
inferredcites →https://doi.org/10.1109/ssci37083.2016openalex-snapshot
2016 IEEE Symposium Series on Computational Intelligence (SSCI)
inferredcites →https://doi.org/10.1109/taffc.2014.2317187openalex-snapshot
Are They Different? Affect, Feeling, Emotion, Sentiment, and Opinion Detection in Text
inferredcites →https://doi.org/10.1109/tcss.2019.2963247openalex-snapshot
Information Granulation-Based Community Detection for Social Networks
inferredcites →https://doi.org/10.1109/tnse.2021.3049262openalex-snapshot
Deep Learning-Embedded Social Internet of Things for Ambiguity-Aware Social Recommendations
inferredcites →https://doi.org/10.1111/exsy.12317openalex-snapshot
Identification and handling of intensifiers for enhancing accuracy of Urdu sentiment analysis
inferredcites →https://doi.org/10.1111/j.1467-8640.2012.00460.xopenalex-snapshot
CROWDSOURCING A WORD–EMOTION ASSOCIATION LEXICON
inferredcites →https://doi.org/10.1142/s0218001418510011openalex-snapshot
Urdu Sentiment Analysis Using Supervised Machine Learning Approach
inferredcites →https://doi.org/10.1145/3132684openalex-snapshot
An Emotion Cause Corpus for Chinese Microblogs with Multiple-User Structures
inferredcites →https://doi.org/10.1145/3162957.3162963openalex-snapshot
Emotion detection in blog posts using keyword spotting and semantic analysis
inferredcites →https://doi.org/10.1145/3314940openalex-snapshot
A Sense Annotated Corpus for All-Words Urdu Word Sense Disambiguation
inferredcites →https://doi.org/10.1145/3425781openalex-snapshot
A Two-stage Text Feature Selection Algorithm for Improving Text Classification
inferredcites →https://doi.org/10.1162/coli.07-034-r2openalex-snapshot
Inter-Coder Agreement for Computational Linguistics
inferredcites →https://doi.org/10.1177/0165551518761014openalex-snapshot
TREMO: A dataset for emotion analysis in Turkish
inferredcites →https://doi.org/10.18653/v1/n18-4018openalex-snapshot
Corpus Creation and Emotion Prediction for Hindi-English Code-Mixed Social Media Text
inferredcites →https://doi.org/10.18653/v1/p18-2024openalex-snapshot
Construction of a Chinese Corpus for the Analysis of the Emotionality of Metaphorical Expressions
inferredcites →https://doi.org/10.18653/v1/s18-1036openalex-snapshot
EMA at SemEval-2018 Task 1: Emotion Mining for Arabic
inferredcites →https://doi.org/10.18653/v1/s18-1041openalex-snapshot
UG18 at SemEval-2018 Task 1: Generating Additional Training Data for Predicting Emotion Intensity in Spanish
inferredcites →https://doi.org/10.18653/v1/s18-1053openalex-snapshot
TeamUNCC at SemEval-2018 Task 1: Emotion Detection in English and Arabic Tweets using Deep Learning
inferredcites →https://doi.org/10.18653/v1/s19-2022openalex-snapshot
CECL at SemEval-2019 Task 3: Using Surface Learning for Detecting Emotion in Textual Conversations
inferredcites →https://doi.org/10.18653/v1/s19-2034openalex-snapshot
EmoSense at SemEval-2019 Task 3: Bidirectional LSTM Network for Contextual Emotion Detection in Textual Conversations
inferredcites →https://doi.org/10.18653/v1/s19-2035openalex-snapshot
EPITA-ADAPT at SemEval-2019 Task 3: Detecting emotions in textual conversations using deep learning models combination
inferredcites →https://doi.org/10.18653/v1/s19-2041openalex-snapshot
KSU at SemEval-2019 Task 3: Hybrid Features for Emotion Recognition in Textual Conversation
inferredcites →https://doi.org/10.2307/2529310openalex-snapshot
The Measurement of Observer Agreement for Categorical Data
inferredcites →https://doi.org/10.3389/fpubh.2019.00400openalex-snapshot
Assessing Canadians Health Activity and Nutritional Habits Through Social Media
inferredcites →https://doi.org/10.4018/ijirr.2017010103openalex-snapshot
A Hybrid Model for Emotion Detection from Text
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.1411.2738openalex-snapshot
word2vec Parameter Learning Explained
inferredcites →https://doi.org/10.48550/arxiv.1704.07548openalex-snapshot
Semi-supervised Bayesian Deep Multi-modal Emotion Recognition
inferredcites →https://doi.org/10.48550/arxiv.1710.00987openalex-snapshot
Annotation and Detection of Emotion in Text-based Dialogue Systems with CNN
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What points at this work

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

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Unveiling the Effectiveness of NLP-Based DL Methods for Urdu Text Analysis
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EmoBang: Detecting Emotion From Bengali Texts
inferred← citeshttps://doi.org/10.1007/978-981-95-2345-0_41openalex-snapshot
Application of Convolutional Neural Network Algorithm in English Text Sentiment Analysis
inferred← citeshttps://doi.org/10.1007/978-981-96-2914-5_27openalex-snapshot
Strategic Medical Text Classification with Improved Blending Ensemble Learning
inferred← citeshttps://doi.org/10.1007/978-981-97-7360-2_2openalex-snapshot
Emotion Classification of Mixed-Source Hindi Language Text Using Deep Learning
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Textual emotion recognition method based on ALBERT-BiLSTM model and SVM-NB classification
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Emotion and personality analysis and detection using natural language processing, advances, challenges and future scope
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Emotion quantification techniques for cognitive reappraisal: a systematic review and scientometric analysis
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