Fusing Text and Image for Event Detection in Twitter
نویسندگان
چکیده
منابع مشابه
Fusing Text and Image for Event Detection in Twitter
In this contribution, we develop an accurate and effective event detection method to detect events from a Twitter stream, which uses visual and textual information to improve the performance of the mining process. The method monitors a Twitter stream to pick up tweets having texts and images and stores them into a database. This is followed by applying a mining algorithm to detect an event. The...
متن کاملEvent Detection in Twitter Using Text and Image Fusion
In this paper, we describe an accurate and effective event detection method to detect events from Twitter stream. It detects events using visual information as well as textual information to improve the performance of the mining. It monitors Twitter stream to pick up tweets having texts and photos and stores them into database. Then it applies mining algorithm to detect the event. Firstly, it d...
متن کاملEvent Detection in Twitter
Twitter, as a form of social media, is fast emerging in recent years. Users are using Twitter to report real-life events. This paper focuses on detecting those events by analyzing the text stream in Twitter. Although event detection has long been a research topic, the characteristics of Twitter make it a non-trivial task. Tweets reporting such events are usually overwhelmed by high flood of mea...
متن کاملEvent Detection in Czech Twitter
The main goal of this paper is to create a novel experimental system for the Czech News Agency (ČTK) which is able to monitor the current dataflow on Twitter, analyze it and extract relevant events. The detected events are then presented to users in an acceptable form. A novel event detection approach adapted to the Czech Twitter is thus proposed. It uses user-lists to discover potentially inte...
متن کاملA Saliency Detection Model via Fusing Extracted Low-level and High-level Features from an Image
Saliency regions attract more human’s attention than other regions in an image. Low- level and high-level features are utilized in saliency region detection. Low-level features contain primitive information such as color or texture while high-level features usually consider visual systems. Recently, some salient region detection methods have been proposed based on only low-level features or hig...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: The International journal of Multimedia & Its Applications
سال: 2015
ISSN: 0975-5934,0975-5578
DOI: 10.5121/ijma.2015.7103