A novel framework for mining social media data based on text mining, topic modeling, random forest, and DANP methods

CY Huang, CL Yang, YH Hsiao - Mathematics, 2021 - mdpi.com
The huge volume of user-generated data on social media is the result of the aggregation of
users' personal backgrounds, past experiences, and daily activities. This huge size of the …

A topic modeling based approach for mining online social media data

NSF Dessai, JA Laxminarayanan - 2019 2nd International …, 2019 - ieeexplore.ieee.org
Dialogues authored by customers, or other social media users on social media platforms,
provide focus into their perceptions, opinions, sentiments and concerns. Over the years, a …

Topic Modeling based Consumer behavior analysis using Latent Dirichlet Allocation

AJ Rawat, R Semwal, R Kumar - 2023 3rd International …, 2023 - ieeexplore.ieee.org
Analysis of Consumer buying patterns is crucial for vendors to understand the necessities
and favorites of their audience. With the increasing availability of digital data, collecting large …

Using latent dirichlet allocation for topic modeling and document clustering of dumaguete city twitter dataset

C Montenegro, C Ligutom III, JV Orio… - Proceedings of the 2018 …, 2018 - dl.acm.org
Online communication channel, such as social media is predominantly becoming common
nowadays as it allows people to fearlessly and instantly share opinions and exchange …

Framework for social media analytics based on multi-criteria decision making (MCDM) model

A Muruganantham, GM Gandhi - Multimedia tools and applications, 2020 - Springer
Abstract The Social, Mobile, Analytics and Cloud (SMAC) explosion in recent times changed
the way the customers look at and collaborate businesses through large world of data or …

Topic modeling using latent dirichlet allocation (LDA) on twitter data with Indonesia keyword

ES Negara, D Triadi - Bulletin of Social Informatics Theory and …, 2021 - pubs.ascee.org
Digital transformation causes an increase in the volume of information in the form of text
such as news. On social media, a lot of news is uploaded in such a fast time and one of them …

Analysis of influencing factors of social mental health based on big data

Y Zhao, Q Tang - Mobile Information Systems, 2021 - Wiley Online Library
Big data is a large‐scale rapidly growing database of information. Big data has a huge data
size and complexity that cannot be easily stored or processed by conventional data …

Topic modeling in large scale social network data

A Ahuja, W Wei, KM Carley - Available at SSRN 2720333, 2015 - papers.ssrn.com
The growing popularity of social media such as Twitter and Facebook has made these
websites an important source of information. The large amount of data available on these …

Topic modelling Twitter data with latent Dirichlet allocation method

SN Edi - Topic Modelling Twitter Data with Latent Dirichlet …, 2022 - eprints.binadarma.ac.id
Twitter is a popular social media for every user to issue thoughts and emotional forms which
are tweets, tweets that only have 140 characters with limitations to write in text. Twitter is one …

[PDF][PDF] Text mining of Twitter data using a latent Dirichlet allocation topic model and sentiment analysis

S Yang, H Zhang - International Journal of Computer and …, 2018 - researchgate.net
Twitter is a microblogging platform, where millions of users daily share their attitudes, views,
and opinions. Using a probabilistic Latent Dirichlet Allocation (LDA) topic model to discern …