Results 11 to 20 of about 3,873,151 (300)
Getting Started with Topic Modeling and MALLET [PDF]
The Programming Historian, 2012 In this lesson you will first learn what topic modeling is and why you might want to employ it in your research. You will then learn how to install and work with the MALLET natural language processing toolkit to do so.
Shawn Graham +2 more
doaj +2 more sources
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
Topic Models with Topic Ordering Regularities for Topic Segmentation [PDF]
2014 IEEE International Conference on Data Mining, 2014 Documents from the same domain usually discuss similar topics in a similar order. In this paper we present new ordering-based topic models that use generalised Mallows models to capture this regularity to constrain topic assignments. Specifically, these new models assume that there is a canonical topic ordering shared amongst documents from the same ...
Lan Du 0002 +2 more
openaire +1 more source
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 +4 more sources
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
Proceedings of the International AAAI Conference on Web and Social Media, 2021 Managing large collections of documents is an important problem for many areas of science, industry, and culture. Probabilistic topic modeling offers a promising solution. Topic modeling is an unsupervised machine learning method that learns the underlying themes in a large collection of otherwise unorganized documents.
Allison June-Barlow Chaney +1 more
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
Dataset Similarity Artikel Topic Modeling
, 2023 Dataset Similarity Artikel Topic Modeling. Data artikel diperoleh dari Google Scholar menggunakan Publish or Perish. Query yang digunakan "Topic modeling" dengan batas waktu publikasi sejak 2019.
Muhammad Rizqi Nur +2 more
core +1 more source
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