Sentiment Analysis and Topic Modelling Using the LDA Method related to the Flood Disaster in Jakarta on Twitter

被引：0
|
作者：
Faculty of Computer Science, Universitas Indonesia, Depok, Indonesia [1 ]
不详 [2 ]
机构：
来源：
Proc. - Int. Conf. Informatics, Multimed., Cyber, Inf. Syst., ICIMCIS | / 126-130期
关键词：
723 Computer Software; Data Handling and Applications - 723.2 Data Processing and Image Processing - 914.1 Accidents and Accident Prevention - 922.2 Mathematical Statistics;
D O I：
2nd International Conference on Informatics, Multimedia, Cyber, and Information System, ICIMCIS 2020
中图分类号：
学科分类号：
摘要：
Disasters
引用
收藏
相关论文
共 50 条
  • [1] Exploring Pandemics Events on Twitter by Using Sentiment Analysis and Topic Modelling
    Qin, Zhikang
    Ronchieri, Elisabetta
    [J]. APPLIED SCIENCES-BASEL, 2022, 12 (23):
  • [2] Topic Detection using BNgram Method and Sentiment Analysis on Twitter Dataset
    Tembhurnikar, Suvarna D.
    Patil, Nitin N.
    [J]. 2015 4TH INTERNATIONAL CONFERENCE ON RELIABILITY, INFOCOM TECHNOLOGIES AND OPTIMIZATION (ICRITO) (TRENDS AND FUTURE DIRECTIONS), 2015,
  • [3] Sentiment Analysis during Jakarta Flood for Emergency Responses and Situational Awareness in Disaster Management using BERT
    Maharani, Warih
    [J]. 2020 8th International Conference on Information and Communication Technology, ICoICT 2020, 2020,
  • [4] An Evaluation of Geotagged Twitter Data during Hurricane Irma Using Sentiment Analysis and Topic Modeling for Disaster Resilience
    Vayansky, Ike
    Kumar, Sathish A. P.
    Li, Zhenlong
    [J]. 2019 IEEE INTERNATIONAL SYMPOSIUM ON TECHNOLOGY AND SOCIETY (ISTAS), 2019,
  • [5] Infiltration Wells Program in Jakarta: Twitter Sentiment Analysis
    Nyoto, Rebecca La Volla
    Ruldeviyani, Yova
    [J]. 2022 1st International Conference on Information System and Information Technology, ICISIT 2022, 2022, : 352 - 357
  • [6] Sentiment Analysis and Topic Modelling of 2018 Central Java']Java Gubernatorial Election using Twitter Data
    Wisnu, Gede Rizky Gustisa
    Ahmadi
    Muttaqi, Ahmad Rizaqu
    Santoso, Aris Budi
    Putra, Prabu Kresna
    Budi, Indra
    [J]. 2020 5TH INTERNATIONAL WORKSHOP ON BIG DATA AND INFORMATION SECURITY (IWBIS 2020), 2020, : 37 - 42
  • [7] Sentiment Classification for Turkish Twitter Feeds using LDA
    Coban, Onder
    Ozyer, Gulsah Tumuklu
    [J]. 2016 24TH SIGNAL PROCESSING AND COMMUNICATION APPLICATION CONFERENCE (SIU), 2016, : 129 - 132
  • [8] Dependency-Topic-Affects-Sentiment-LDA Model for Sentiment Analysis
    Yin, Shunshun
    Han, Jun
    Huang, Yu
    Kumar, Kuldeep
    [J]. 2014 IEEE 26TH INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE (ICTAI), 2014, : 413 - 418
  • [9] TopicInk: Visualizing Disaster-Related Textual Data Using LDA Topic Modeling
    Guo, Chen
    Liu, Xiang
    Cai, Evie
    Chen, Yingjie Victor
    Qian, Zhenyu Cheryl
    Li, Rui
    [J]. 2019 IEEE CONFERENCE ON VISUAL ANALYTICS SCIENCE AND TECHNOLOGY (VAST), 2019, : 124 - 125
  • [10] LDA-Based Topic Modeling Sentiment Analysis Using Topic/Document/Sentence (TDS) Model
    Farkhod, Akhmedov
    Abdusalomov, Akmalbek
    Makhmudov, Fazliddin
    Cho, Young Im
    [J]. APPLIED SCIENCES-BASEL, 2021, 11 (23):
12345