Semi-supervised sentiment clustering on natural language (Apr, 10.1007/10260-023-00691-4, 2023)

被引：0
|
作者：
Frigau, Luca [1 ]
Romano, Maurizio [1 ]
Ortu, Marco [1 ]
Contu, Giulia [1 ]
机构：
[1] Univ Cagliari, Dept Econ & Business Sci, Viale Santignazio 17, I-09123 Cagliari, Italy
来源：
STATISTICAL METHODS AND APPLICATIONS | 2023年 / 32卷 / 04期
关键词：
D O I：
10.1007/s10260-023-00704-2
中图分类号：
O21 [概率论与数理统计]; C8 [统计学];
学科分类号：
020208 ; 070103 ; 0714 ;
摘要：
引用
收藏
页码：1379 / 1380
页数：2
相关论文
共 6 条
  • [1] Semi-supervised sentiment clustering on natural language texts
    Frigau, Luca
    Romano, Maurizio
    Ortu, Marco
    Contu, Giulia
    [J]. STATISTICAL METHODS AND APPLICATIONS, 2023, 32 (04): : 1239 - 1257
  • [2] Semi-supervised sentiment clustering on natural language texts
    Luca Frigau
    Maurizio Romano
    Marco Ortu
    Giulia Contu
    [J]. Statistical Methods & Applications, 2023, 32 : 1239 - 1257
  • [3] Correction to: Semi‑supervised sentiment clustering on natural language
    Luca Frigau
    Maurizio Romano
    Marco Ortu
    Giulia Contu
    [J]. Statistical Methods & Applications, 2023, 32 (4) : 1379 - 1380
  • [4] Using sentiment analysis to evaluate the impact of the COVID-19 outbreak on Italy's country reputation and stock market performance (Apr, 10.1007/s10260-023-00690-5, 2023)
    Zammarchi, Gianpaolo
    Mola, Francesco
    Conversano, Claudio
    [J]. STATISTICAL METHODS AND APPLICATIONS, 2023, 32 (03): : 1053 - 1056
  • [5] Research proposal content extraction using natural language processing and semi-supervised clustering: A demonstration and comparative analysis
    Knisely, Benjamin M. M.
    Pavliscsak, Holly H. H.
    [J]. SCIENTOMETRICS, 2023, 128 (05) : 3197 - 3224
  • [6] Research proposal content extraction using natural language processing and semi-supervised clustering: A demonstration and comparative analysis
    Benjamin M. Knisely
    Holly H. Pavliscsak
    [J]. Scientometrics, 2023, 128 : 3197 - 3224
1