Results 11 to 20 of about 1,143,739 (216)
Topic Modeling in Embedding Spaces [PDF]
Transactions of the Association for Computational Linguistics, 2020 Topic modeling analyzes documents to learn meaningful patterns of words. However, existing topic models fail to learn interpretable topics when working with large and heavy-tailed vocabularies. To this end, we develop the embedded topic model (etm), a generative model of documents that marries traditional topic models with word embeddings.
Francisco J. R. Ruiz +2 more
openaire +5 more sources
Topic selection for text classification using ensemble topic modeling with grouping, scoring, and modeling approach [PDF]
Scientific ReportsTextNetTopics (Yousef et al. in Front Genet 13:893378, 2022. https://doi.org/10.3389/fgene.2022.893378 ) is a recently developed approach that performs text classification-based topics (a topic is a group of terms or words) extracted from a Latent ...
Daniel Voskergian +2 more
doaj +2 more sources
Semantic N-Gram Topic Modeling [PDF]
EAI Endorsed Transactions on Scalable Information Systems, 2020 In this paper a novel approach for effective topic modeling is presented. The approach is different fromtraditional vector space model-based topic modeling, where the Bag of Words (BOW) approach is followed.The novelty of our approach is that in phrase ...
Pooja Kherwa, Poonam Bansal
doaj +1 more source
Topic Modeling: A Comprehensive Review [PDF]
EAI Endorsed Transactions on Scalable Information Systems, 2020 Topic modelling is the new revolution in text mining. It is a statistical technique for revealing the underlying semantic structure in large collection of documents.
Pooja Kherwa, Poonam Bansal
doaj +1 more source
Advanced Hierarchical Topic Labeling for Short Text
IEEE Access, 2023 Hierarchical Topic Modeling is the probabilistic approach for discovering latent topics distributed hierarchically among the documents. The distributed topics are represented with the respective topic terms.
Paras Tiwari +3 more
doaj +1 more source
Estimation of Topic Similarity and Its Application to Measuring Stability of Topic Modeling [PDF]
Jiàoyù zīliào yǔ túshūguǎn xué, 2022 Topic modeling stability is a measurement of the extent to which models produced by the same modeling approach for the same corpus and with the same initial conditions have similar topics.
Sung-Chien Lin
doaj +1 more source
Understanding Cybersecurity Threat Trends Through Dynamic Topic Modeling
Frontiers in Big Data, 2021 Cybersecurity threats continue to increase and are impacting almost all aspects of modern life. Being aware of how vulnerabilities and their exploits are changing gives helpful insights into combating new threats.
Jennifer Sleeman +2 more
doaj +1 more source
Time Series Impact Through Topic Modeling
IEEE Access, 2022 A time-series of numerical data and a sequence of time-ordered documents are often correlated. This paper aims at modeling the impact that the underlying themes discussed in the text data have on the time series.
Julian Cendrero +3 more
doaj +1 more source
Automated Audio Captioning With Topic Modeling
IEEE Access, 2023 Automatic audio captioning (AAC) is an important area of research aimed at generating meaningful descriptions for audio clips. Most existing methods use relevant semantic information to improve AAC performance and have demonstrated the feasibility of ...
Aysegul Ozkaya Eren, Mustafa Sert
doaj +1 more source