Results 81 to 90 of about 810,432 (208)

Reliability of Topic Modeling

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
Topic models allow researchers to extract latent factors from text data and use those variables in downstream statistical analyses. However, these methodologies can vary significantly due to initialization differences, randomness in sampling procedures, or noisy data.
Kayla Schroeder, Zach Wood-Doughty
openaire   +2 more sources

Emerging Scientific Field Detection Using Citation Networks and Topic Models—A Case Study of the Nanocarbon Field

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, Bunshi Fugetsu, Ichiro Sakata   +2 more
doaj   +1 more source

Community topic usage in social networks

, 2015
When studying large social media data sets, it is useful to reduce the dimensionality of both the network (e.g. by finding communities) and user-generated data such as text (e.g. using topic models).
Ian D. Wood, Wood, Ian D., Wood, Ian
core   +1 more source

Multilingual Dynamic Topic Model [PDF]

, 2019
Dynamic topic models (DTMs) capture the evolution of topics and trends in time series data. Current DTMs are applicable only to monolingual datasets.
Elaine Zosa, Mark Granroth-Wilding, Granroth-Wilding, Mark, Zosa , Elaine, Zosa, Elaine   +4 more
core   +1 more source

Efficient Correlated Topic Modeling with Topic Embedding [PDF]

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2017
KDD 2017 oral.
Junxian He, Zhiting Hu, Taylor Berg-Kirkpatrick, Ying Huang, Eric P. Xing   +4 more
openaire   +2 more sources

Ideology from topic mixture statistics: inference method and example application to carbon tax public opinion

Environmental Data Science
Political opposition to fiscal climate policy, such as a carbon tax, typically appeals to fiscal conservative ideology. Here, we ask to what extent public opposition to the carbon tax in Canada is, in fact, ideological in origin.
Maximilian Puelma Touzel, Erick Lachapelle   +1 more
doaj   +1 more source

Topic Modelling Games [PDF]

, 2020
This paper presents a new topic modelling framework inspired by game theoretic principles. It is formulated as a normal form game in which words are represented as players and topics as strategies that the players select. The strategies of each player are modelled with a probability distribution guided by a utility function that the players try to ...
openaire   +3 more sources

ToC-RWG: Explore the Combination of Topic Model and Citation Information for Automatic Related Work Generation

IEEE Access, 2020
Automatic related work generation is a new challenge in multi-document scientific summarization focusing on refining a related work section for a given scientific paper.
Pancheng Wang, Shasha Li, Haifang Zhou, Jintao Tang, Ting Wang   +4 more
doaj   +1 more source

TOP2LABEL: EXPLAINABLE ZERO SHOT TOPIC LABELLING USING KNOWLEDGE GRAPHS

, 2022
We presented the first zero-shot model to generate all three types of textual labels (i.e., 1. One Word Label, 2. Sentence Label, and 3. Summary Label) for automatically generated topics. We have defined our evaluation matrix based on BERTScore, which is
Chaudhary, Akhil
core  

A Method for Extending Ontologies with Application to the Materials Science Domain

Data Science Journal, 2019
In the materials science domain the data-driven science paradigm has become the focus since the beginning of the 2000s. A large number of research groups and communities are building and developing data-driven workflows.
Huanyu Li, Rickard Armiento, Patrick Lambrix   +2 more
doaj   +1 more source