Latent Dirichlet allocation (LDA) and topic modeling: models, applications, a survey

H Jelodar, Y Wang, C Yuan, X Feng, X Jiang… - Multimedia tools and …, 2019 - Springer
Topic modeling is one of the most powerful techniques in text mining for data mining, latent
data discovery, and finding relationships among data and text documents. Researchers …

[SÁCH][B] Searchable talk: Hashtags and social media metadiscourse

M Zappavigna - 2018 - books.google.com
Metadata such as the hashtag is an important dimension of social media communication.
Despite its important role in practices such as curating, tagging, and searching content, there …

Emotion recognition on twitter: Comparative study and training a unison model

N Colnerič, J Demšar - IEEE transactions on affective …, 2018 - ieeexplore.ieee.org
Despite recent successes of deep learning in many fields of natural language processing,
previous studies of emotion recognition on Twitter mainly focused on the use of lexicons and …

[HTML][HTML] LDA-based topic modeling sentiment analysis using topic/document/sentence (TDS) model

A Farkhod, A Abdusalomov, F Makhmudov, YI Cho - Applied Sciences, 2021 - mdpi.com
Customer reviews on the Internet reflect users' sentiments about the product, service, and
social events. As sentiments can be divided into positive, negative, and neutral forms …

Investigating emerging hydrogen technology topics and comparing national level technological focus: Patent analysis using a structural topic model

H Choi, JR Woo - Applied Energy, 2022 - Elsevier
Hydrogen technology has recently attracted great attention as a new energy technology with
a potential to transform existing energy systems. However, since hydrogen technology is …

A personalized hashtag recommendation approach using LDA-based topic model in microblog environment

F Zhao, Y Zhu, H **, LT Yang - Future Generation Computer Systems, 2016 - Elsevier
With wide use of cloud computing technologies, microblog is used more widely for services
providing more personal communities by user information sharing, dissemination and …

[HTML][HTML] Hashtag recommendation methods for twitter and Sina Weibo: A review

A Alsini, DQ Huynh, A Datta - Future Internet, 2021 - mdpi.com
Hashtag recommendation suggests hashtags to users while they write microblogs in social
media platforms. Although researchers have investigated various methods and factors that …

Compass: Spatio temporal sentiment analysis of US election what twitter says!

D Paul, F Li, MK Teja, X Yu, R Frost - Proceedings of the 23rd ACM …, 2017 - dl.acm.org
With the widespread growth of various social network tools and platforms, analyzing and
understanding societal response and crowd reaction to important and emerging social …

Tweet modeling with LSTM recurrent neural networks for hashtag recommendation

J Li, H Xu, X He, J Deng, X Sun - 2016 International Joint …, 2016 - ieeexplore.ieee.org
The hash symbol, called a hashtag, is used to mark the keyword or topic in a tweet. It was
created organically by users as a way to categorize messages. Hashtags also provide …

Database-guided segmentation of anatomical structures with complex appearance

B Georgescu, XS Zhou, D Comaniciu… - 2005 IEEE Computer …, 2005 - ieeexplore.ieee.org
The segmentation of anatomical structures has been traditionally formulated as a perceptual
grou** task, and solved through clustering and variational approaches. However, such …