On the public citation graph
Emo2Vec
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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.
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/mar.20048openalex-snapshot
Emotions and life: Perspectives from psychology, biology, and evolution.
inferredcites →https://doi.org/10.1007/s12559-017-9492-2openalex-snapshot
Learning Word Representations for Sentiment Analysis
inferredcites →https://doi.org/10.1016/j.engappai.2016.01.012openalex-snapshot
Recognizing emotions in text using ensemble of classifiers
inferredcites →https://doi.org/10.1016/j.knosys.2014.06.011openalex-snapshot
EmoSenticSpace: A novel framework for affective common-sense reasoning
inferredcites →https://doi.org/10.1080/02699939208411068openalex-snapshot
An argument for basic emotions
inferredcites →https://doi.org/10.1109/ijcnn.2003.1223944openalex-snapshot
Proceedings Of The International Joint Conference On Neural Networks 2003
inferredcites →https://doi.org/10.1109/mis.2016.31openalex-snapshot
Affective Computing and Sentiment Analysis
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/tkde.2013.39openalex-snapshot
A Review on Multi-Label Learning Algorithms
inferredcites →https://doi.org/10.1109/tkde.2015.2489653openalex-snapshot
Sentiment Embeddings with Applications to Sentiment Analysis
inferredcites →https://doi.org/10.1109/tpami.2013.51openalex-snapshot
Facial Age Estimation by Learning from Label Distributions
inferredcites →https://doi.org/10.1109/wi-iat.2012.170openalex-snapshot
Unsupervised Emotion Detection from Text Using Semantic and Syntactic Relations
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/p17-1154openalex-snapshot
Linguistically Regularized LSTM for Sentiment Classification
inferredcites →https://doi.org/10.18653/v1/s18-1001openalex-snapshot
SemEval-2018 Task 1: Affect in Tweets
inferredcites →https://doi.org/10.3115/v1/d14-1181openalex-snapshot
Convolutional Neural Networks for Sentence Classification
inferredcites →https://doi.org/10.3115/v1/p14-2openalex-snapshot
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
inferredcites →https://doi.org/10.5555/944919.944966openalex-snapshot
A neural probabilistic language model
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/s00799-023-00367-0openalex-snapshot
Gesture retrieval and its application to the study of multimodal communication
inferred← citeshttps://doi.org/10.1007/s11042-025-20892-1openalex-snapshot
Inference of context and sentiment-aware causal phrase embeddings from product reviews using multi-relational graph neural networks
inferred← citeshttps://doi.org/10.1016/j.eswa.2023.120190openalex-snapshot
enemos-p: An enhanced emotion specific prediction for recommender systems
inferred← citeshttps://doi.org/10.1016/j.iot.2026.102046openalex-snapshot
Lightweight streaming speech enhancement for AIoT-enabled wearable hearing aids using parallel spiking mamba
inferred← citeshttps://doi.org/10.1016/j.neucom.2023.126488openalex-snapshot
Knowledge-based BERT word embedding fine-tuning for emotion recognition
inferred← citeshttps://doi.org/10.1016/j.neucom.2025.129822openalex-snapshot
Enhancing sentiment analysis with distributional emotion embeddings
inferred← citeshttps://doi.org/10.1016/j.procs.2025.08.296openalex-snapshot
Comparative Simulation of Homomorphic Encryption Techniques in Edge-Cloud Computing: Reducing Computational and Storage Overhead
inferred← citeshttps://doi.org/10.1109/asru65441.2025.11434682openalex-snapshot
XEmoRAG: Cross-Lingual Emotion Transfer with Controllable Intensity Using Retrieval-Augmented Generation
inferred← citeshttps://doi.org/10.1109/bigdata50022.2020.9378492openalex-snapshot
A Graph Neural Network For Assessing The Affective Coherence Of Twitter Graphs
inferred← citeshttps://doi.org/10.1109/icvr66534.2025.11172549openalex-snapshot
ImoGenXR: Investigating the Impact on Creativity Support in a Generative-AI Assisted Immersive Authoring Workflow
inferred← citeshttps://doi.org/10.1109/peeec60561.2023.00142openalex-snapshot
Design of Robot Interactive Emotion Model Based on Artificial Intelligence Technology
inferred← citeshttps://doi.org/10.1109/taffc.2025.3635686openalex-snapshot
Emotion Embeddings — Learning Stable and Homogeneous Abstractions From Heterogeneous Affective Datasets
inferred← citeshttps://doi.org/10.1145/3487664.3487666openalex-snapshot
Refining User Ratings Using User Emotions for Recommender Systems
inferred← citeshttps://doi.org/10.1145/3555719openalex-snapshot
Emotion Ontology Studies: A Framework for Expressing Feelings Digitally and its Application to Sentiment Analysis
inferred← citeshttps://doi.org/10.18653/v1/2021.emnlp-main.728openalex-snapshot
Towards Label-Agnostic Emotion Embeddings
inferred← citeshttps://doi.org/10.18653/v1/2023.findings-emnlp.665openalex-snapshot
Do Stochastic Parrots have Feelings Too? Improving Neural Detection of Synthetic Text via Emotion Recognition
inferred← citeshttps://doi.org/10.47852/bonviewjcce2022010102openalex-snapshot
Application of Transformer-Based Language Models to Detect Hate Speech in Social Media
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