# Is word segmentation necessary for Vietnamese sentiment classification?

arXiv: https://arxiv.org/abs/2301.00418 · HTML: https://mlsanity.com/paper/2301.00418/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 20 of its 55 references that are in the map.
- First posted on arXiv 1 Jan 2023.

## Builds on (most cited first, 20 of 20)

- [BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding](https://mlsanity.com/paper/1810.04805/) (2018)
- [Unsupervised Cross-lingual Representation Learning at Scale](https://mlsanity.com/paper/1911.02116/) (2019)
- [Neural Machine Translation of Rare Words with Subword Units](https://mlsanity.com/paper/1508.07909/) (2015)
- [Efficiently Modeling Long Sequences with Structured State Spaces](https://mlsanity.com/paper/2111.00396/) (2021)
- [Decoupled Weight Decay Regularization](https://mlsanity.com/paper/1711.05101/) (2017)
- [Enriching Word Vectors with Subword Information](https://mlsanity.com/paper/1607.04606/) (2016)
- [Bag of Tricks for Efficient Text Classification](https://mlsanity.com/paper/1607.01759/) (2016)
- [Adaptive Input Representations for Neural Language Modeling](https://mlsanity.com/paper/1809.10853/) (2018)
- [PhoBERT: Pre-trained language models for Vietnamese](https://mlsanity.com/paper/2003.00744/) (2020)
- [Emotion Recognition for Vietnamese Social Media Text](https://mlsanity.com/paper/1911.09339/) (2019)
- [A Fast and Accurate Vietnamese Word Segmenter](https://mlsanity.com/paper/1709.06307/) (2017)
- [SA2SL: From Aspect-Based Sentiment Analysis to Social Listening System for Business Intelligence](https://mlsanity.com/paper/2105.15079/) (2021)
- [From Word Segmentation to POS Tagging for Vietnamese](https://mlsanity.com/paper/1711.04951/) (2017)
- [Fine-Tuning BERT for Sentiment Analysis of Vietnamese Reviews](https://mlsanity.com/paper/2011.10426/) (2020)
- [A neural joint model for Vietnamese word segmentation, POS tagging and dependency parsing](https://mlsanity.com/paper/1812.11459/) (2018)
- [BKTreebank: Building a Vietnamese Dependency Treebank](https://mlsanity.com/paper/1710.05519/) (2017)
- [Vietnamese Word Segmentation with SVM: Ambiguity Reduction and Suffix Capture](https://mlsanity.com/paper/2006.07804/) (2020)
- [Vietnamese Semantic Role Labelling](https://mlsanity.com/paper/1711.10124/) (2017)
- [Span Labeling Approach for Vietnamese and Chinese Word Segmentation](https://mlsanity.com/paper/2110.00156/) (2021)
- [State-of-the-Art Vietnamese Word Segmentation](https://mlsanity.com/paper/1906.07662/) (2019)

## Abstract (arXiv)

To the best of our knowledge, this paper made the first attempt to answer whether word segmentation is necessary for Vietnamese sentiment classification. To do this, we presented five pre-trained monolingual S4- based language models for Vietnamese, including one model without word segmentation, and four models using RDRsegmenter, uitnlp, pyvi, or underthesea toolkits in the pre-processing data phase. According to comprehensive experimental results on two corpora, including the VLSP2016-SA corpus of technical article reviews from the news and social media and the UIT-VSFC corpus of the educational survey, we have two suggestions. Firstly, using traditional classifiers like Naive Bayes or Support Vector Machines, word segmentation maybe not be necessary for the Vietnamese sentiment classification corpus, which comes from the social domain. Secondly, word segmentation is necessary for Vietnamese sentiment classification when word segmentation is used before using the BPE method and feeding into the deep learning model. In this way, the RDRsegmenter is the stable toolkit for word segmentation among the uitnlp, pyvi, and underthesea toolkits.