Results 21 to 30 of about 17,652,183 (292)
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022 We propose a new problem called coordinated topic modeling that imitates human behavior while describing a text corpus. It considers a set of well-defined topics like the axes of a semantic space with a reference representation. It then uses the axes to model a corpus for easily understandable representation. This new task helps represent a corpus more
Pritom Saha Akash +2 more
openaire +3 more sources
A Cross-Platform Personalized Recommender System for Connecting E-Commerce and Social Network
Future Internet, 2022 In this paper, we build a recommender system for a new study area: social commerce, which combines rich information about social network users and products on an e-commerce platform.
Jiaxu Zhao +3 more
doaj +1 more source
CoRR, 2021 We propose an Exclusive Topic Modeling (ETM) for unsupervised text classification, which is able to 1) identify the field-specific keywords though less frequently appeared and 2) deliver well-structured topics with exclusive words. In particular, a weighted Lasso penalty is imposed to reduce the dominance of the frequently appearing yet less relevant ...
Hao Lei, Ying Chen
openaire +3 more sources
Semantic Recognition of Ship Motion Patterns Entering and Leaving Port Based on Topic Model
Journal of Marine Science and Engineering, 2022 Recognition and understanding of ship motion patterns have excellent application value for ship navigation and maritime supervision, i.e., route planning and maritime risk assessment.
Gaocai Li +5 more
doaj +1 more source
Unsupervised learning of generative topic saliency for person re-identification [PDF]
, 2014 (c) 2014. The copyright of this document resides with its authors. It may be distributed unchanged freely in print or electronic forms.© 2014. The copyright of this document resides with its authors.
Wang, H +5 more
core +3 more sources
A Topic Modeling Comparison Between LDA, NMF, Top2Vec, and BERTopic to Demystify Twitter Posts
Frontiers in Sociology, 2022 The richness of social media data has opened a new avenue for social science research to gain insights into human behaviors and experiences. In particular, emerging data-driven approaches relying on topic models provide entirely new perspectives on ...
Roman Egger, Joanne Yu
doaj +1 more source
, 2012 We introduce the topical relevance model (TRLM) as a generalization of the standard relevance model (RLM). The TRLM alleviates the limitations of the RLM by exploiting the multi-topical structure of pseudo-relevant documents. In TRLM, intra-topical document and query term co-occurrences are favoured, whereas the inter-topical ones are down-weighted ...
Ganguly, Debasis +2 more
openaire +3 more sources
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
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
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