Research on the Technique of Chinese Text Classification Based on the Single Chinese Character Feature

Zhang, Yubin; Lu, Jianfeng; Yang, Jingyu

doi:10.1109/ccpr.2009.5344011

Cited by 9 publications

(6 citation statements)

References 4 publications

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“…Their research also highlighted the significance of poetry titles, authors, and types in determining poetry themes. On a similar note, Zhang and He [28] introduced a BiLSTMbased approach for the style classification of ancient Chinese poetry, leveraging both poetry words and word vectors. Their approach showed a marked improvement in classification over traditional models.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Despite its undeniable significance, there exists a considerable gap in comprehensively classifying and analyzing the themes prevalent in ancient Chinese poetry [24]. While several scholars have delved deep into the stylistic nuances [9,8] and coarse-grained sentiments [28,19] of these poems, there is a growing need for a robust and fine-grained thematic framework that delineates the recurring motifs and underlying narratives that have shaped this poetry.…”

Section: Introductionmentioning

confidence: 99%

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Thematic classification of ancient Chinese poetry using TwinEmbedAttentionNet

Chang,

Li,

Wang

et al. 2024

ACE

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Ancient Chinese poetry, a reflection of Chinas rich cultural and philosophical fabric, encapsulates the evolving socio-cultural nuances of its historical epochs. Despite its cultural significance, there remains an evident lacuna in comprehensively classifying its recurring themes, due in part to the conciseness and polysemy intrinsic to the language and the essentiality of embedded cultural and historical contexts. Addressing this challenge, this study introduces TwinEmbedAttentionNet, a pioneering method tailored for the thematic classification of ancient Chinese poetry. This approach synergistically integrates pretrained word and sentence embeddings with an attention mechanism, ensuring the nuanced representation of the poetrys intricate details. Our results showcase its superior performance over existing models. Furthermore, an in-depth examination of model components offers insights into their respective thematic categorization efficacies. This research not only advances the academic understanding of ancient Chinese poetry but also underscores the potential of innovative neural networks in processing historically rich textual data.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Thematic classification of ancient Chinese poetry using TwinEmbedAttentionNet

Chang,

Li,

Wang

et al. 2024

ACE

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“…In Chinese text categorization, [3] obtained better results by adding dependency relationships to words, and [4] used uni-grams together with improved mutual information method and gained fairly good performance.…”

Section: Statistical Researchmentioning

confidence: 99%

Document Classification Using N-gram and Word Semantic Similarity

Ren¹,

Kang²

2015

IJUNESST

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“…Now we use ceramics to investigate the quenching phenomenon. Compared with single crystals, ceramics materials have lower sintering temperature and easy to fabricate, besides, they can be mass produced and doped heavily and homogeneously with active ions [10,11].…”

Section: Introductionmentioning

confidence: 99%