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Analisis Modelling Pada Reviewes Lazada Indonesia Menggunakan Latent Dirichlet Allocation (LDA) Untuk Optimalisasi Strategi Bisnis

Herry Saputra, Alfath Damanik, M. Mayo Shaquille, Mohamad Khoiru Rusydi, Muhammad Habib Riziq, Naya Septia Zulva   +5 more
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Topic Modeling Using Latent Dirichlet allocation

ACM Computing Surveys, 2021
We are not able to deal with a mammoth text corpus without summarizing them into a relatively small subset. A computational tool is extremely needed to understand such a gigantic pool of text.
Uttam Chauhan, Apurva Shah
semanticscholar   +2 more sources

Latent Dirichlet Allocation

The Art and Science of Analyzing Software Data, 2003
Hazel Victoria Campbell, Abram Hindle, Eleni Stroulia   +2 more
semanticscholar   +2 more sources

Integrating patent analysis into technology roadmapping: A latent dirichlet allocation based technology assessment and roadmapping in the field of Blockchain

Technological Forecasting and Social Change, 2021
Tugrul Daim
exaly   +2 more sources

The evolution of 10-K textual disclosure: Evidence from Latent Dirichlet Allocation

Journal of Accounting and Economics, 2017
Travis Dyer, Mark Lang, Lorien Stice-Lawrence   +2 more
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A guided latent Dirichlet allocation approach to investigate real-time latent topics of Twitter data during Hurricane Laura

Journal of information science, 2021
Natural disasters cause significant damage, casualties and economical losses. Twitter has been used to support prompt disaster response and management because people tend to communicate and spread information on public social media platforms during ...
Sulong Zhou, Pengyu Kan, Qunying Huang, J. Silbernagel   +3 more
semanticscholar   +1 more source

Latent Dirichlet Allocation - An approach for topic discovery

2022 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COM-IT-CON), 2022
The digital age has brought about an increased data generation and, therefore, challenges to process that data. Machine learning and NLP algorithms have enabled smooth data processing as the research progressed technologically.
Astha Goyal, Indu Kashyap
semanticscholar   +1 more source

Latent dirichlet allocation

Proceedings of the 2014 ACM conference on Web science, 2014
Topic modeling, in particular the Latent Dirichlet Allocation (LDA) model, has recently emerged as an important tool for understanding large datasets, in particular, user-generated datasets in social studies of the Web. In this work, we investigate the instability of LDA inference, propose a new metric of similarity between topics and a criterion of ...
Sergei Koltcov, Olessia Koltsova, Sergey Nikolenko   +2 more
openaire   +1 more source