Results 291 to 300 of about 229,295 (345)
A systematic review of the use of topic models for short text social media analysis
Recently, research on short text topic models has addressed the challenges of social media datasets. These models are typically evaluated using automated measures.
Wray Buntine +2 more
exaly +2 more sources
Some of the next articles are maybe not open access.
Related searches:
Related searches:
A review of topic modeling methods
Information Systems, 2020Topic modeling is a popular analytical tool for evaluating data. Numerous methods of topic modeling have been developed which consider many kinds of relationships and restrictions within datasets; however, these methods are not frequently employed ...
Ike Vayansky, Sathish A P Kumar
exaly +2 more sources
Prompting Large Language Models for Topic Modeling
BigData Congress [Services Society], 2023Topic modeling is a widely used technique for revealing underlying thematic structures within textual data. However, existing models have certain limitations, particularly when dealing with short text datasets that lack co-occurring words.
Han Wang +5 more
semanticscholar +1 more source
IEEE Transactions on Image Processing, 2023
Video data and algorithms have been driving advances in multi-object tracking (MOT). While existing MOT datasets focus on occlusion and appearance similarity, complex motion patterns are widespread yet overlooked.
X. Cao +5 more
semanticscholar +1 more source
Video data and algorithms have been driving advances in multi-object tracking (MOT). While existing MOT datasets focus on occlusion and appearance similarity, complex motion patterns are widespread yet overlooked.
X. Cao +5 more
semanticscholar +1 more source
Topic-based indexing of federated datasets
Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 2019The increasing availability of open datasets calls for the adoption of novel query engines able to ease the retrieval of desired information from this huge amount of data. This paper proposes an in depth analysis of a topic-based indexing solution for building transparent, federated query engines for SPARQL.
Ciro Sorrentino +2 more
openaire +1 more source
Enrico: A Dataset for Topic Modeling of Mobile UI Designs
22nd International Conference on Human-Computer Interaction with Mobile Devices and Services, 2020Topic modeling of user interfaces (UIs), also known as layout design categorization, contributes to a better understanding of the UI functionality. Starting from Rico, a large dataset of mobile UIs, we revised a random sample of 10k UIs and concluded to Enrico (shorthand of Enhanced Rico), a human-supervised high-quality dataset comprising 1460 UIs and
Luis A. Leiva +2 more
openaire +1 more source
Analysing Hoax Dataset in Indonesian Language with Topic Modeling
2023 10th International Conference on ICT for Smart Society (ICISS), 2023Internet-based dissemination of false information in Indonesia becomes a major concern. The majority of Indonesians are exposed to hoaxes, but only a small percentage can identify them. This study focuses on identifying the trend hoaxes of news topics by
Edward Matthew Kurniawan +4 more
openaire +2 more sources
Information Processing & Management, 2020
Methods for document clustering and topic modelling in online social networks (OSNs) offer a means of categorising, annotating and making sense of large volumes of user generated content.
Stephen A. Curiskis +3 more
semanticscholar +1 more source
Methods for document clustering and topic modelling in online social networks (OSNs) offer a means of categorising, annotating and making sense of large volumes of user generated content.
Stephen A. Curiskis +3 more
semanticscholar +1 more source

