mlsanityData to 7 Oct 2026

SA2SL: From Aspect-Based Sentiment Analysis to Social Listening System for Business Intelligence

arXiv 2105.15079 ↗First posted 31 May 2021cs.CLcited by 12

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Abstract (arXiv)

In this paper, we present a process of building a social listening system based on aspect-based sentiment analysis in Vietnamese from creating a dataset to building a real application. Firstly, we create UIT-ViSFD, a Vietnamese Smartphone Feedback Dataset as a new benchmark corpus built based on a strict annotation schemes for evaluating aspect-based sentiment analysis, consisting of 11,122 human-annotated comments for mobile e-commerce, which is freely available for research purposes. We also present a proposed approach based on the Bi-LSTM architecture with the fastText word embeddings for the Vietnamese aspect based sentiment task. Our experiments show that our approach achieves the best performances with the F1-score of 84.48% for the aspect task and 63.06% for the sentiment task, which performs several conventional machine learning and deep learning systems. Last but not least, we build SA2SL, a social listening system based on the best performance model on our dataset, which will inspire more social listening systems in future.

Key facts. Cited by 12 papers in the map (data through 7 Oct 2026). Builds on 9 of its 30 references that are in the map. First posted on arXiv 31 May 2021.

Builds on

9 of 30 references.

References · 9

  1. 2016Enriching Word Vectors with Subword Informationcited by 1,578
  2. 2020A Primer in BERTology: What we know about how BERT workscited by 807
  3. 2016Text Classification Improved by Integrating Bidirectional LSTM with Two-dimensional Max Poolingcited by 39
  4. 2019Emotion Recognition for Vietnamese Social Media Textcited by 23
  5. 2016A Hierarchical Model of Reviews for Aspect-based Sentiment Analysiscited by 21
  6. 2021Constructive and Toxic Speech Detection for Open-domain Social Media Comments in Vietnamesecited by 17
  7. 2020A Simple and Efficient Ensemble Classifier Combining Multiple Neural Network Models on Social Media Datasets in Vietnamesecited by 8
  8. 2019Hate Speech Detection on Vietnamese Social Media Text using the Bi-GRU-LSTM-CNN Modelcited by 7
  9. 2019Hate Speech Detection on Vietnamese Social Media Text using the Bidirectional-LSTM Modelcited by 7

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 1; 2022: 2; 2023: 1; 2024: 3; 2025: 2; 2026: 3.

12 papers.

  1. 2024VLUE: A New Benchmark and Multi-task Knowledge Transfer Learning for Vietnamese Natural Language Understandingcited by 8
  2. 2022Detecting Spam Reviews on Vietnamese E-commerce Websitescited by 4
  3. 2022Improving Sentiment Analysis By Emotion Lexicon Approach on Vietnamese Textscited by 2
  4. 2025SEA-BED: How Do Embedding Models Represent Southeast Asian Languages?cited by 2
  5. 2021Span Detection for Aspect-Based Sentiment Analysis in Vietnamesecited by 1
  6. 2024A Weakly Supervised Data Labeling Framework for Machine Lexical Normalization in Vietnamese Social Mediacited by 1
  7. 2025Advancing Vietnamese Information Retrieval with Learning Objective and Benchmarkcited by 1
  8. 2023Is word segmentation necessary for Vietnamese sentiment classification?cited by 0
  9. 2024New Benchmark Dataset and Fine-Grained Cross-Modal Fusion Framework for Vietnamese Multimodal Aspect-Category Sentiment Analysiscited by 0
  10. 2026ViGoEmotions: A Benchmark Dataset For Fine-grained Emotion Detection on Vietnamese Textscited by 0
  11. 2026BamiBERT: A New BERT-based Language Model for Vietnamesecited by 0
  12. 2026ViTOED: A Dataset for Target-Oriented Emotion Detection on Vietnamese Social Media Textscited by 0