Event Related Blog Post Classification by Using Traffic Related Named Entities

2018-09-19

Suggestions

Event Boundary Detection Using Audio Visual Features and Web casting Texts with Imprecise Time Information
MÜJDAT, Bayar; ALAN, Özgür; SAMET, Akpınar; ORKUNT, Sabuncu; Çiçekli, Fehime Nihan; Alpaslan, Ferda Nur (2010-07-21)
We propose a method to detect events and event boundaries in soccer videos by using web-casting texts and audio-visual features. The events and their inaccurate time information given in web-casting texts need to be aligned with the visual content of the video. We overcome this issue by utilizing textual, visual and audio features. Existing methods assume that the time at which the event occurs is given precisely (in seconds). However, most web-casting texts presented by popular organizations such as uefa.c...
Event detection on social media using transaction based stream processing engine
Çınar, Hüseyin Alper; Karagöz, Pınar; Department of Computer Engineering (2019)
The aim of this study is detecting events on social media by improving current solutions in terms of accuracy and time performance. An event is something that occurs in a short duration of time in a certain place. In this thesis, the problem is modelled as a streaming transaction process. Three different event detection method is adapted to our solution. First one is the keyword-based event detection method that looks for bursty keywords in a period. The second one is the clustering-based event detection me...
Event boundary detection using web-cating texts and audio-visual features
Müjdat, Bayar; Çiçekli, Fehime Nihan; Department of Computer Engineering (2011)
We propose a method to detect events and event boundaries in soccer videos by using web-casting texts and audio-visual features. The events and their inaccurate time information given in web-casting texts need to be aligned with the visual content of the video. Most match reports presented by popular organizations such as uefa.com (the official site of Union of European Football Associations) provide the time information in minutes rather than seconds. We propose a robust method which is able to handle unce...
EVENT POINTS: A SOFTWARE SIZE MEASUREMENT MODEL
Hacaloğlu, Tuna; Betin Can, Aysu; Demirörs, Onur; Department of Information Systems (2021-9-10)
Software Size Measurement is a critical task in Software Development Life Cycle (SDLC). It is the primary input for effort estimation models and an important measure for project control and process improvement. There exist various size measurement methods whose successes have already been proven for traditional software architectures and application domains. Functional size measurement (FSM) being one of them attracts specific attention due to its applicability at the early phases of SDLC. Although FSM meth...
Event prediction from news text using subgraph embedding and graph sequence mining
Çekinel, Recep Fırat; Karagöz, Pınar (Springer Science and Business Media LLC, 2022-2-28)
Event detection from textual content by using text mining concepts is a well-researched field in the literature. On the other hand, graph modeling and graph embedding techniques in recent years provide an opportunity to represent textual contents as graphs. Text can be enriched with additional attributes in graphs, and the complex relationships can be captured within the graphs. In this paper, we focus on news prediction and model the problem as subgraph prediction. More specifically, we aim to predict the ...
Citation Formats
Ü. Ahmet Dündar, H. Tüydeş Yaman, and P. Karagöz, “Event Related Blog Post Classification by Using Traffic Related Named Entities,” 2018, Accessed: 00, 2021. [Online]. Available: https://ieeexplore.ieee.org/abstract/document/8656940.