Combining supervised and unsupervised learning to detect and semantically aggregate crisis-related twitter content

J Kersten, J Bongard, F Klan - 18th International Conference on …, 2021 - elib.dlr.de
Twitter is an immediate and almost ubiquitous platform and therefore can be a valuable
source of information during disasters. Current methods for identifying and classifying crisis …

Polarity classification on twitter data for classifying sarcasm using clause pattern for sentiment analysis

MSM Prasanna, SG Shaila, A Vadivel - Multimedia Tools and Applications, 2023 - Springer
Nowadays, an enormous amount of data is available on the WWW and exponentially
growing as well. A lot of users use social networking websites such as Twitter, Facebook …

A novel method for constructing spatiotemporal knowledge graph for maritime ship activities

C **e, L Zhang, Z Zhong - Electronics, 2023 - mdpi.com
This study focused on the construction of a spatiotemporal knowledge graph for ship
activities. First, a ship activity ontology model was proposed to describe the entities and …

Event Graph-Based News Clustering: The Role of Named Entity-Centered Subgraphs

BB Kömeçoglu, B Yilmaz - IEEE Access, 2024 - ieeexplore.ieee.org
In an era of exponential growth in online news sources, the need for intelligent digital
solutions capable of efficiently analyzing and organizing large amounts of news content has …

Iteratively tracking hot topics on public opinion based on parallel intelligence

X Liu, Q Zhao, X Wang, X Dong, Y Li… - IEEE Journal of Radio …, 2022 - ieeexplore.ieee.org
Online public opinion has increasingly become an important factor affecting social stability
and the harmony of international relations. For tracking public opinion topics, observing the …

Cross-media web video topic detection based on heterogeneous interactive tensor learning

C Zhang, K Mei, X **ao - Knowledge-Based Systems, 2024 - Elsevier
Topic detection based on text reasoning has attracted widespread attention. Existing
methods focus on inference based on textual semantic cues. However, each video is …

[HTML][HTML] A popular topic detection method based on microblog images and short text information

W Liu, H Wang, J Wang, H Guo, Y Sun, M Hou… - Journal of Web …, 2024 - Elsevier
Popular topic detection is a topic identification by the information of documents posted by
users in social networking platforms. In a large body of research literature, most popular …

[BUCH][B] Resilienz und Schockereignisse

J Schwind, G Kropf, J Kersten, C Böttcher, L Tutt… - 2024 - books.google.com
Ereignisse, die schnell, mit einer großen Wucht und immensen Auswirkungen auf Mensch
und Umwelt einwirken, nennt man Schockereignisse. Ausgehend von zwei …

Web document categorization using knowledge graph and semantic textual topic detection

AM Rinaldi, C Russo, C Tommasino - … 13–16, 2021, Proceedings, Part III …, 2021 - Springer
In several contexts, the amount of available digital documents increases every day. One of
these challenging contexts is the Web. The management of this large amount of information …

Personalized News Recommendation Algorithm for Event Network

Y Han - Mathematical Problems in Engineering, 2022 - Wiley Online Library
In order to improve the level of personalized news recommendation efficiently and
accurately, an event network‐oriented personalized news recommendation algorithm is …