Results 11 to 20 of about 144,717 (245)
Crime Science, 2017 The classification of crime into discrete categories entails a massive loss of information. Crimes emerge out of a complex mix of behaviors and situations, yet most of these details cannot be captured by singular crime type labels.
Da Kuang +2 more
doaj +6 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 for Analyzing Topic Manipulation Skills
Information, 2021 There are many ways to communicate with people, the most representative of which is a conversation. A smooth conversation should not only be written in a grammatically appropriate manner, but also deal with the subject of conversation; this is known as ...
Seok-Ju Hwang +4 more
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
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
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
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 +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