Results 51 to 60 of about 3,238,976 (181)
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, John K. Pate, Mark Johnson
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Latent dirichlet markov allocation for sentiment analysis [PDF]
, 2013 In recent years probabilistic topic models have gained tremendous attention in data mining and natural language processing research areas. In the field of information retrieval for text mining, a variety of probabilistic topic models have been used to ...
Bagheri, A, de Jong, F, Saraee, MH
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Ordering-sensitive and Semantic-aware Topic Modeling
, 2015 Topic modeling of textual corpora is an important and challenging problem. In most previous work, the "bag-of-words" assumption is usually made which ignores the ordering of words.
Cui, Tianyi, Tu, Wenting, Yang, Min
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Cereal-legume intercropping: a smart review using topic modelling
Frontiers in Plant ScienceIntroductionOver the last decade, there has been a growing interest in cereal-legume intercropping for sustainable agriculture. As a result numerous papers, including reviews, focus on this topic.
Sofie Landschoot +5 more
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An Abstract Summarization Method Combining Global Topics
Applied Sciences, 2022 Existing abstractive summarization methods only focus on the correlation between the original words and the summary words, ignoring the topics’ influence on the summaries.
Zhili Duan +4 more
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Topically Driven Neural Language Model
, 2017 Language models are typically applied at the sentence level, without access to the broader document context. We present a neural language model that incorporates document context in the form of a topic model-like architecture, thus providing a succinct ...
Baldwin, Timothy +2 more
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MetaLDA: a Topic Model that Efficiently Incorporates Meta information
, 2017 Besides the text content, documents and their associated words usually come with rich sets of meta informa- tion, such as categories of documents and semantic/syntactic features of words, like those encoded in word embeddings.
Buntine, Wray +3 more
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Applied System Innovation, 2020 In fields with high science linkage, such as the nanocarbon field, trends in academic papers are particularly important for identifying future technological trends. The use of the number of citations allows us to predict the qualitative trends on a paper-
Hajime Sasaki +2 more
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A Supervised Neural Autoregressive Topic Model for Simultaneous Image Classification and Annotation [PDF]
, 2013 Topic modeling based on latent Dirichlet allocation (LDA) has been a framework of choice to perform scene recognition and annotation. Recently, a new type of topic model called the Document Neural Autoregressive Distribution Estimator (DocNADE) was ...
Larochelle, Hugo +2 more
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Multilingual Dynamic Topic Model
Proceedings - Natural Language Processing in a Deep Learning World, 2019 Dynamic topic models (DTMs) capture the evolution of topics and trends in time series data. Current DTMs are applicable only to monolingual datasets. In this paper we present the multilingual dynamic topic model (ML-DTM), a novel topic model that combines DTM with an existing multilingual topic modeling method to capture crosslingual topics that evolve
Zosa, Elaine, Granroth-Wilding, Mark
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