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Latent Dirichlet allocation (LDA) and topic modeling: models, applications, a survey
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 …
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 …
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 …
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
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 …
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
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 potential to transform existing energy systems. However, since hydrogen technology is …
A personalized hashtag recommendation approach using LDA-based topic model in microblog environment
With wide use of cloud computing technologies, microblog is used more widely for services
providing more personal communities by user information sharing, dissemination and …
providing more personal communities by user information sharing, dissemination and …
[HTML][HTML] Hashtag recommendation methods for twitter and Sina Weibo: A review
Hashtag recommendation suggests hashtags to users while they write microblogs in social
media platforms. Although researchers have investigated various methods and factors that …
media platforms. Although researchers have investigated various methods and factors that …
Compass: Spatio temporal sentiment analysis of US election what twitter says!
With the widespread growth of various social network tools and platforms, analyzing and
understanding societal response and crowd reaction to important and emerging social …
understanding societal response and crowd reaction to important and emerging social …
Tweet modeling with LSTM recurrent neural networks for hashtag recommendation
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 …
created organically by users as a way to categorize messages. Hashtags also provide …
Database-guided segmentation of anatomical structures with complex appearance
The segmentation of anatomical structures has been traditionally formulated as a perceptual
grou** task, and solved through clustering and variational approaches. However, such …
grou** task, and solved through clustering and variational approaches. However, such …