Results 11 to 20 of about 561,016 (281)
A systematic review of the use of topic models for short text social media analysis
Artificial Intelligence Review, 2023 Recently, research on short text topic models has addressed the challenges of social media datasets. These models are typically evaluated using automated measures.
Caitlin Doogan Poet Laureate +2 more
semanticscholar +3 more sources
Analyzing LDA and NMF Topic Models for Urdu Tweets via Automatic Labeling
IEEE Access, 2021 The understanding and analyzing of available content on Social media Platforms such as Twitter and Facebook, through various topic modeling methods is not supervised.
Zoya +3 more
doaj +3 more sources
cisTopic: cis-regulatory topic modeling on single-cell ATAC-seq data
Nature Methods, 2019 C. Bravo González-Blas +8 more
semanticscholar +3 more sources
IEEE AccessTwitter’s widespread popularity has made it a prime target for malicious actors exploiting trending hashtags to disseminate harmful content. This study marks the first systematic exploration of semantic consistency in tweets to detect trending ...
Insaf Kraidia +2 more
doaj +3 more sources
A social and news media benchmark dataset for topic modeling
Data in Brief, 2022 Topic modeling is an active research area with several unanswered questions. The focus of recent research in this area is on the use of a vector embedding representation of the input text with both generative and evolutionary topic modeling techniques ...
Samuel Miles +4 more
doaj +1 more source
대한영상의학회지, 2021 Purpose To construct a standard dataset of contrast-enhanced CT images of liver tumors to test the performance and safety of artificial intelligence (AI)-based algorithms for clinical decision support systems (CDSSs). Materials and Methods A consensus
Seung-seob Kim +6 more
doaj +1 more source
IEEE Access, 2023 Hot topic trends have become increasingly important in the era of social media, as these trends can spread rapidly through online platforms and significantly impact public discourse and behavior.
Zohaib Ahmad Khan +6 more
doaj +1 more source
Topic2features: a novel framework to classify noisy and sparse textual data using LDA topic distributions [PDF]
PeerJ Computer Science, 2021 In supervised machine learning, specifically in classification tasks, selecting and analyzing the feature vector to achieve better results is one of the most important tasks.
Junaid Abdul Wahid +6 more
doaj +2 more sources
An Adaptive LDA Optimal Topic Number Selection Method in News Topic Identification
IEEE Access, 2023 Nowadays, news text information is exploding, and people need more and more heterogeneous news content. Therefore, news text topic identification is needed to help viewers quickly and accurately screen and filter news related to their interests to save ...
Mingming Zheng +3 more
doaj +1 more source
Topic-Driven and Knowledge-Aware Transformer for Dialogue Emotion Detection [PDF]
Annual Meeting of the Association for Computational Linguistics, 2021 Emotion detection in dialogues is challenging as it often requires the identification of thematic topics underlying a conversation, the relevant commonsense knowledge, and the intricate transition patterns between the affective states.
Lixing Zhu +4 more
semanticscholar +1 more source