Results 221 to 230 of about 526,391 (261)
Some of the next articles are maybe not open access.
2019
Sarcasm is a nuanced form of speech extensively employed in various online platforms such as social networks, micro-blogs etc. and sarcasm detection refers to predicting whether the text is sarcastic or not. Detecting sarcasm in text is among the major issues facing sentiment analysis.
Sakshi Thakur +2 more
openaire +2 more sources
Sarcasm is a nuanced form of speech extensively employed in various online platforms such as social networks, micro-blogs etc. and sarcasm detection refers to predicting whether the text is sarcastic or not. Detecting sarcasm in text is among the major issues facing sentiment analysis.
Sakshi Thakur +2 more
openaire +2 more sources
Sentiment Detection in Economics Texts
2020Deriving intelligence from text is important as it can provide valuable information on how events influence public opinion. In this work, a classification task was done in order to obtain the sentiment behind the polarity of an economic text using machine learning and deep learning methods. We analyzed the text for keywords that can be categorized into
Olumide E. Ojo +4 more
openaire +2 more sources
Aggressive Text Detection for Cyberbullying
2014Aggressive text detection in social networks allows to identify offenses and misbehavior, and leverages tasks such as cyberbullying detection. We propose to automatically map a document with an aggressiveness score (thus treating aggressive text detection as a regression problem) and explore different approaches for this purpose.
Laura P. Del Bosque +1 more
openaire +2 more sources
Detecting Information Structures in Texts
2013The colossal growth of volatile online text data evokes the demand for automatic text analysis tools to identify worthwhile information. Documents, as well as text streams, can be structured beyond the concept of frequency distributions.
Thomas Bohne, Uwe M. Borghoff
openaire +2 more sources
Detecting text in the real world
Proceedings of the 20th ACM international conference on Multimedia, 2012The problem of text detection in natural scene images is challenging because of the unconstrained sizes, colors, backgrounds and alignments of the characters. This paper proposes novel symmetry features for this task. Within a text line, the intra-character symmetry captures the correspondence between the inner contour and the outer contour of a ...
Trung Quy Phan +2 more
openaire +2 more sources
Text Detection in Urban Scenes
2009Text detection in urban scenes is a hard task due to the high variability of text appearance: different text fonts, changes in the point of view, or partial occlusion are just a few problems. Text detection can be specially suited for georeferencing business, navigation, tourist assistance, or to help visual impaired people. In this paper, we propose a
Sergio Escalera +3 more
openaire +2 more sources
Detecting Plagiarism in Text Documents
2010Plagiarism aims at identifying the amount of information that is copied or reproduced in modified representation of original documents. This is quiet common among students, researchers and academicians that leads to a kind of unrecognizing. Though there exits some commercial tools to detect plagiarism, still plagiarism is tricky and quiet challenging ...
Shanmugasundaram Hariharan +4 more
openaire +2 more sources
Fast and effective text detection
2008 15th IEEE International Conference on Image Processing, 2008Text in images and videos is a significant cue for visual content understanding and retrieval. In this paper, we present a fast and effective approach to locate text lines even under complex background. First, our algorithm uses the stroke filter to calculate the stroke maps in horizontal, vertical, left-diagonal, right-diagonal directions.
Xiaojun Li +4 more
openaire +1 more source
Portable and fast text detection
Machine Vision and Applications, 2016In this paper, we describe an efficient pipeline for real-time text detection to be implemented on different architectures, with particular reference to smart phones. The text detection pipeline is based on a rather standard segmentation followed by a classification of each segmented connected component.
ZINI, LUCA, ODONE, FRANCESCA
openaire +1 more source
2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2018
The problem of plagiarism the recent years has been intensified by the availability of information in digital form and the accessibility of the electronic libraries through the Internet. As a result, plagiarism detection has been transformed into a big data analytics problem since the number of digital sources is extravagant and a new document needs to
Konstantinos F. Xylogiannopoulos +2 more
openaire +2 more sources
The problem of plagiarism the recent years has been intensified by the availability of information in digital form and the accessibility of the electronic libraries through the Internet. As a result, plagiarism detection has been transformed into a big data analytics problem since the number of digital sources is extravagant and a new document needs to
Konstantinos F. Xylogiannopoulos +2 more
openaire +2 more sources