Results 21 to 30 of about 1,075,906 (163)

ANOMALY DETECTION IN ONLINE SOCIAL MEDIA THROUGH ADVANCED AI TECHNIQUES AND TOPIC MODELING [PDF]

open access: yesProceedings on Engineering Sciences
The ubiquity of online social media platforms has led to an increasing need for effective anomaly detection methods to identify irregularities and potential threats within user-generated content.
Navdeep Bohra   +4 more
doaj   +1 more source

A Text Classification Algorithm Based on Neural Network and LDA [PDF]

open access: yesJisuanji gongcheng, 2019
The traditional Latent Dirichlet Allocation(LDA) topic model uses Gibbs Sampling to fit unknown parameters under known conditional distributions in text classification calculations,making it difficult to weigh classification accuracy and computation ...
NIU Shuoshuo, CHAI Xiaoli, LI Deqi, XIE Bin
doaj   +1 more source

Analysis of the Trends in Biochemical Research Using Latent Dirichlet Allocation (LDA) [PDF]

open access: yesProcesses, 2019
Biochemistry has been broadly defined as “chemistry of molecules included or related to living systems”, but is becoming increasingly hard to be distinguished from other related fields. Targets of its studies evolve rapidly; some newly emerge, disappear, combine, or resurface themselves with a fresh viewpoint.
Hee Jay Kang   +2 more
openaire   +1 more source

Science and Technology Video Text Classification Based on Improved Labeled LDA Model [PDF]

open access: yesJisuanji gongcheng, 2018
In the process of classifying video texts in the field of science and technology,it is easy to ignore the terminology with high classification contribution.Considering the problem that the traditional Labeled Latent Dirichlet Allocation (LDA) model has ...
MA Jianhong,FAN Yuexiang
doaj   +1 more source

A derivation of variational message passing (VMP) for latent Dirichlet allocation (LDA)

open access: yes, 2021
24 pages,not yet submitted ...
Taylor, Rebecca M. C.   +2 more
openaire   +2 more sources

Detection of Reference Topics and Suggestions using Latent Dirichlet Allocation (LDA) [PDF]

open access: yes2019 12th International Conference on Information & Communication Technology and System (ICTS), 2019
Pelatihan Aplikasi Teknologi Informasi (PATI) is an activity of training required for new students in Universitas Muhammadiyah Malang (UMM) to provide knowledge and training on UMM or information technology concerned about general technology. At the end of the training, the students give the conclusions and suggestions to PATI.
basuki, setio   +5 more
openaire   +2 more sources

SPUCL (Scientific Publication Classifier): A Human-Readable Labelling System for Scientific Publications

open access: yesApplied Sciences, 2021
To assess critically the scientific literature is a very challenging task; in general it requires analysing a lot of documents to define the state-of-the-art of a research field and classifying them. The documents classifier systems have tried to address
Noemi Scarpato   +2 more
doaj   +1 more source

Latent Dirichlet Allocation (LDA) for Sentiment Analysis Toward Tourism Review in Indonesia [PDF]

open access: yesJournal of Physics: Conference Series, 2017
The tourism industry is one of foreign exchange sector, which has considerable potential development in Indonesia. Compared to other Southeast Asia countries such as Malaysia with 18 million tourists and Singapore 20 million tourists, Indonesia which is the largest Southeast Asia's country have failed to attract higher tourist numbers compared to its ...
IR Putri, R Kusumaningrum
openaire   +1 more source

Interpreting atomization of agricultural spray image patterns using latent Dirichlet allocation techniques

open access: yesArtificial Intelligence in Agriculture, 2020
Breakup patterns of agricultural formulations are explored using unsupervised learning techniques to elucidate the mechanics of atomization for oil-in-water formulations.
Hongfei Li   +3 more
doaj   +1 more source

Unsupervised Machine Learning to Identify Depressive Subtypes [PDF]

open access: yesHealthcare Informatics Research, 2022
Objectives This study evaluated an unsupervised machine learning method, latent Dirichlet allocation (LDA), as a method for identifying subtypes of depression within symptom data. Methods Data from 18,314 depressed patients were used to create LDA models.
Benson Kung   +4 more
doaj   +1 more source

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