Results 21 to 30 of about 1,611,945 (272)
Effective Neural Topic Modeling with Embedding Clustering Regularization [PDF]
arXiv, 2023 Topic models have been prevalent for decades with various applications. However, existing topic models commonly suffer from the notorious topic collapsing: discovered topics semantically collapse towards each other, leading to highly repetitive topics, insufficient topic discovery, and damaged model interpretability.
arxiv
Frontiers in Built Environment, 2019 Ubiquitous smartphone technologies and virtual social networks offer us a unique opportunity to instantly share information to a large number of people.
Rezaur Rahman +3 more
doaj +1 more source
Joint Sentiment Part Topic Regression Model for Multimodal Analysis
Information, 2020 The development of multimodal media compensates for the lack of information expression in a single modality and thus gradually becomes the main carrier of sentiment. In this situation, automatic assessment for sentiment information in multimodal contents
Mengyao Li +4 more
doaj +1 more source
Local and Global Topics in Text Modeling of Web Pages Nested in Web Sites [PDF]
arXiv, 2021 Topic models are popular models for analyzing a collection of text documents. The models assert that documents are distributions over latent topics and latent topics are distributions over words. A nested document collection is where documents are nested inside a higher order structure such as stories in a book, articles in a journal, or web pages in a
arxiv
Detecting Community Evolution by Utilizing Individual Temporal Semantics in Social Networks
IEEE Access, 2023 Social networks are becoming increasingly popular and significant. One of the most distinctive features of these networks is their dynamic nature, which means that they change over time.
Feng Wang, Dingbo Hou, Hao Yan
doaj +1 more source
BiTTM: A Core Biterms-Based Topic Model for Targeted Analysis
Applied Sciences, 2021 While most of the existing topic models perform a full analysis on a set of documents to discover all topics, it is noticed recently that in many situations users are interested in fine-grained topics related to some specific aspects only.
Jiamiao Wang +3 more
doaj +1 more source
Remote Sensing, 2017 Land cover classification is the most important element of land cover mapping and is a key input to many societal benefits. Traditional classification methods require a large amount of remotely sensed images, which are time consuming and labour intensive.
Hanfa Xing +4 more
doaj +1 more source
Overlapping Community Detection in Weighted Temporal Text Networks
IEEE Access, 2020 Network is a powerful language to represent relational data. One way to understand network is to analyze groups of nodes which share same properties or functions. The task of discovering such groups is known as community detection.
Rui Dong, Juanjuan Yang, Yonggang Chen
doaj +1 more source
ISPRS International Journal of Geo-Information, 2021 Online public opinion reflects social conditions and public attitudes regarding special social events. Therefore, analyzing the temporal and spatial distributions of online public opinion topics can contribute to understanding issues of public concern ...
Qin Liang, Chunchun Hu, Si Chen
doaj +1 more source
Sequential Topic Selection Model with Latent Variable for Topic-Grounded Dialogue [PDF]
arXiv, 2022 Recently, topic-grounded dialogue system has attracted significant attention due to its effectiveness in predicting the next topic to yield better responses via the historical context and given topic sequence. However, almost all existing topic prediction solutions focus on only the current conversation and corresponding topic sequence to predict the ...
arxiv