Combining supervised and unsupervised learning to detect and semantically aggregate crisis-related twitter content
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 …
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
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 …
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 …
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 …
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 …
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 …
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 …
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 …
und Umwelt einwirken, nennt man Schockereignisse. Ausgehend von zwei …
Web document categorization using knowledge graph and semantic textual topic detection
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 …
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 …
accurately, an event network‐oriented personalized news recommendation algorithm is …