A survey of state-of-the-art approaches for emotion recognition in text

2020/03/18 by Nourah Alswaidan, Mohamed El Bachir Menai, Mohamed El Bachir Menaï · 263 citations
Computer Science · #Advanced Text Analysis Techniques #Artificial intelligence #Benchmark (surveying) #Computer science #Context (archaeology) #Deep learning #Emotion recognition #Machine learning #Natural language #Natural language processing #Natural language understanding #Parsing #Representation (politics) #Sentiment Analysis and Opinion Mining #Task (project management) #Topic Modeling

paper · doi:10.1007/s10115-020-01449-0

published in Knowledge and Information Systems 62(8), 2937-2987 (Springer Science+Business Media)

crossref issued 2020/03/18 · crossref published 2020/03/18 · crossref published-online 2020/03/18 · openalex publication_date 2020/03/18 · crossref created 2020/03/18 · crossref published-print 2020/08/01 · crossref deposited 2024/08/02 · openalex created_date 2025/10/10 · crossref indexed 2026/08/04 · openalex updated_date 2026/08/05

Citations

• Efficient Estimation of Word Representations in Vector Space
• Patterns of cognitive appraisal in emotion.
• Neural Machine Translation by Jointly Learning to Align and Translate
• Glove: Global Vectors for Word Representation
• Enriching Word Vectors with Subword Information
• Pointer Sentinel Mixture Models
• Universal Sentence Encoder
• Amobee at SemEval-2018 Task 1: GRU Neural Network with a CNN Attention Mechanism for Sentiment Classification

Cited by

• MoCA: Implicit Social Context Analysis