Results 21 to 30 of about 144,717 (245)
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
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 +2 more sources
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
Topic Modeling for Makerspace Artifact Analysis
Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2021 As the making phenomenon becomes more prevalent, diverse, and vast, it becomes increasingly challenging to identify general temporal or spatial trends in types of making endeavors.
David Wilson +2 more
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 +2 more sources
Conceptualization Topic Modeling [PDF]
CoRR, 2017 Recently, topic modeling has been widely used to discover the abstract topics in text corpora. Most of the existing topic models are based on the assumption of three-layer hierarchical Bayesian structure, i.e. each document is modeled as a probability distribution over topics, and each topic is a probability distribution over words.
Yi-Kun Tang +3 more
openaire +3 more sources
Topic based document modeling for information filtering
CTU Journal of Innovation and Sustainable Development, 2023 Information Filtering (IF), which has been popularly studied in recent years, is one of the areas that applies document retrieval techniques for dealing with the huge amount of information. In IF systems, modelling user’s interest and filtering relevant
Tran Diem Hanh Nguyen
doaj +3 more sources
Topic Modeling in Embedding Spaces
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.
Dieng, Adji B. +2 more
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
Introducción a Topic Modeling y MALLET
The Programming Historian en Español, 2018 Esta lección explica qué es topic modeling y por qué podrías querer utilizarlo en tus investigaciones. Luego aprenderás cómo instalar y trabajar con MALLET, una caja de herramientas para procesamiento de lenguajes naturales (PLN) con la que topic ...
Shawn Graham +2 more
doaj +1 more source