Infrared and Laser Engineering, Volume. 50, Issue S2, 20210298(2021)

Monitoring method of public opinion in minor languages using deep learning

Qianli Song1,2 and Hua Lai1,2
Author Affiliations
  • 1Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Yunnan 650500, China
  • 2Yunnan Key Laboratory of Artificial Intelligence, Kunming University of Science and Technology, Yunnan 650500, China
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    Figures & Tables(6)
    Flow chart of Chinese-Vietnamese news opinion sentence extraction incorporating the characteristics of shared topics
    Opinion sentence extraction model incorporating the discriminative features of opinion sentences
    • Table 1. Distribution of training set, test set, and verification set of Chinese and Vietnamese news corpus

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      Table 1. Distribution of training set, test set, and verification set of Chinese and Vietnamese news corpus

      Number of Chinese news articles Number of Vietnamese news articles
      Training set450450
      Test set2525
      Validation set2525
    • Table 2. Comparison of the effect of opinion sentence extraction under different models

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      Table 2. Comparison of the effect of opinion sentence extraction under different models

      Opinion sentence extraction modelPRF1
      LSTM + opinion sentence discriminative features0.6230.6390.631
      Bi-LSTM + discriminant features of opinion sentences0.6580.6670.662
      Transformer+discriminant features of opinion sentences0.7110.7320.721
    • Table 3. Comparison of the effect of opinion sentence extraction under different characteristic

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      Table 3. Comparison of the effect of opinion sentence extraction under different characteristic

      Discriminant features of opinion sentencesPRF1
      None0.6380.6500.644
      Shared topic0.6860.6950.690
      Position0.6640.6830.673
      Emotion0.6990.7070.703
      Vietnamese theme features + location + emotion0.6760.7090.650
      Shared theme topic + location + emotion0.7110.7320.721
    • Table 4. Comparison of the effect of opinion sentence extraction in Chinese-Vietnamese news cases

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      Table 4. Comparison of the effect of opinion sentence extraction in Chinese-Vietnamese news cases

      Chinese newsVietnamese news
      Text越通社河内—12月21日和22日,越南有关部门、越南驻美国大使馆、越南国家航空公司同当地政府有关部门配合,将在美国滞留的近360名越南公民安全接回国。 ...今后,将在国外滞留的公民接回国工作将继续根据公民的愿望和国内疫情和隔离能力等情况展开。 Trong hai ngày 21-22/12, các cơ quan chức năng Việt Nam, các cơ quan đại diện Việt Nam tại Hoa Kỳ, hãng Hàng không Quốc gia Việt Nam đã phối hợp với các cơ quan chức năng sở tại đưa gần 360 công dân Việt Nam về nước an toàn....Thời gian tới, việc đưa công dân có hoàn cảnh đặc biệt khó khăn về nước sẽ được sắp xếp theo nguyện vọng của công dân, phù hợp với tình hình dịch bệnh và năng lực cách ly trong nước.
      Subject headings越南,疫情...Việt Nam(越南), cách ly (隔离)...
      No shared theme featureOpinion sentence number is 1, 8 (8 sentences in total) Opinion sentence number is 1 (9 sentences in total)
      Incorporate shared theme featuresOpinion sentence number is 1, 8 (8 sentences in total) Opinion sentence number is 1, 9 (9 sentences in total)
      Artificially annotated opinion sentenceOpinion sentence number is 1, 8 (8 sentences in total) Opinion sentence number is 1, 9 (9 sentences in total)
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    Qianli Song, Hua Lai. Monitoring method of public opinion in minor languages using deep learning[J]. Infrared and Laser Engineering, 2021, 50(S2): 20210298

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    Paper Information

    Category: Image processing

    Received: May. 8, 2021

    Accepted: --

    Published Online: Dec. 3, 2021

    The Author Email:

    DOI:10.3788/IRLA20210298

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