OMT: An Operate-Based Approach for Modelling Multi-topic Influence Diffusion in Online Social Networks

Jiang, Chenting; Li, Weihua; Wu, Shiqing; Bai, Quan

doi:10.1007/978-3-030-90888-1_41

Cited by 2 publications

(1 citation statement)

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“…Topic modeling is an unsupervised machine learning method that applies clustering to discover latent variables from large text data. The most popular method for topic modeling is Latent Dirichlet Allocation (LDA) which was introduced by Blei and Jordan, described as a generative probabilistic model to look for the semantic structure of a corpus set based on hierarchical Bayesian analysis [27]. An LDA is a collection of mixed-topic documents that contain words with a certain probability.…”

Section: Lda Modelingmentioning

confidence: 99%

Research topic modeling in informatics engineering study program at Nusa Putra University using LDA method

Kamdan

Kharisma

Insany

et al. 2022

IJEAT

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Writing research reports at the undergraduate level is one of the obligations that must be fulfilled by students as a fulfillment of graduation requirements at a university. One of the independent learning programs implemented at Nusa Putra University is through the research method, where students are required to conduct research as a graduation requirement in the Study Completion Program course. The growing development of information and communication technology provides opportunities for students to determine research themes. However, sometimes students take research themes that are not in accordance with the concentration in the study program. This research was conducted with the aim of identifying how the LDA topic modeling method can analyze research topic trends by modeling topics on research titles that have been taken by students at the Informatics Engineering Study Program, University of Nusa Putra. Latent Dirichlet Allocation (LDA) is one of the most popular topic modeling methods today. This research uses a dataset in the form of 159 titles of study completion program research reports and tittles of final assignment reports for students of the Informatics Engineering study program, University of Nusa Putra. This research is expected to be a reference in conducting research by students based on the topics that have been modeled

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Section: Lda Modelingmentioning

confidence: 99%