A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Filters
Generating Pictorial Storylines Via Minimum-Weight Connected Dominating Set Approximation in Multi-View Graphs
2021
PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE
Preserved Fulltext
This paper introduces a novel framework for generating pictorial storylines for given topics from text and image data on the Internet. ...
A key idea in the framework is the use of an approximate solution for the dominating set problem. ...
analysis methods which base on either image graphs or text graphs. ...
doi:10.1609/aaai.v26i1.8207
fatcat:zqd6njazfncbjd4p2seld3muum
Egocentric storylines for visual analysis of large dynamic graphs
2013
2013 IEEE International Conference on Big Data
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2015; you can also visit the original URL.
The file type is application/pdf.
This paper presents an egocentric, bottom-up method to exploring a large dynamic network using a storyline representation to summarise localized behavior of the network over time. ...
Often analysts want to focus on a specific part of the data according to domain knowledge, which is best suited by a bottom-up approach. ...
Department of Energy through the SciDAC program with Agreement No. DE-FC02-06ER25777 and DE-FC02-12ER26072. ...
doi:10.1109/bigdata.2013.6691715
dblp:conf/bigdataconf/MuelderCSM13
fatcat:j3vuhy7brjeozizgloc2ycbdcu
Characterizing Social Movement Narratives in Online Communities: The 2021 Cuban Protests on Reddit
[article]
2022
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Our work has implications in the study of social movements, intelligence analysis, computational journalism, and misinformation research. ...
Using our method, we study the 2021 Cuban protests and characterize five relevant communities. The extracted narratives differ in both structure and content across communities. ...
analysis of the accepted narratives espoused by online communities surrounding the 2021 Cuban protests to showcase the application of our method. ...
arXiv:2208.04465v1
fatcat:jxmmlmhqp5b2tp32mh5pgwjp5e
Scenario techniques for energy and environmental research: An overview of recent developments to broaden the capacity to deal with complexity and uncertainty
2017
Environmental Modelling & Software
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
(2016) , in this TI, represent the MGA application to an open-source energy system optimization model called Temoa (Tools for Energy Model Optimization and Analysis). ...
foci with an optimization-based method for choosing a small number of relevant scenarios that combine both vulnerability and diversity approaches. ...
doi:10.1016/j.envsoft.2017.07.017
fatcat:e5q2ecrsrzdz3e72uy3mpzv7ni
Unsupervised text mining methods for literature analysis: a case study for Thomas Pynchon's V
2013
Orbit : Writing Around Pynchon
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Unsupervised text mining methods for literature analysis: a case study for Thomas Pynchon's V. ...
work presented herein; and Markus Hofmann, for fruitful remarks on a late draft of this work. ...
Acknowledgments We would like to thank Thanassis Paraskevas, for his assistance with some useful programming tips in Python; Martin Eve, for providing encouraging feedback to some early samples of the ...
doi:10.7766/orbit.v1.2.44
fatcat:7oioosyulza73cug7bu4cx7aau
Storylines: Visual exploration and analysis in latent semantic spaces
2007
Computers & graphics
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2010; you can also visit the original URL.
The file type is application/pdf.
In this article, we introduce the design and application of an integrated exploratory visualization system called Storylines. ...
The contributions of the work include providing an intuitive and directly accessible representation of a latent semantic space derived from the text corpus, an integrated process for identifying salient ...
The authors would like to thanks the VAST contest organizers for making the dataset available. ...
doi:10.1016/j.cag.2007.01.025
fatcat:muclyxvjjrburnujodl3cdzdda
A graph-theoretic approach to extract storylines from search results
2004
Proceedings of the 2004 ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '04
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2004; you can also visit the original URL.
The file type is application/pdf.
The core algorithmic task involved is to mine for signature structures in a robust graph representation of the search results. We present a very fast algorithm for this task based on local search. ...
Our framework is axiomatically developed and combinatorial in nature, based on generalizations of the maximum induced matching problem on bipartite graphs. ...
Our proposal to use signature structures as the one outlined above may be viewed as an application of ideas from link analysis-specifically the work of Kumar et al. ...
doi:10.1145/1014052.1014078
dblp:conf/kdd/KumarMS04
fatcat:3wnxyoybqvbh3ieoftu7vqtzzm
Narrative Maps: An Algorithmic Approach to Represent and Extract Information Narratives
[article]
2020
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Other Versions
Our approach extracts the underlying graph structure of the narrative map using a novel optimization technique focused on maximizing coherence while respecting structural and coverage constraints. ...
We make three key contributions: a theory-driven computational representation of narratives, a novel extraction algorithm to obtain these representations from data, and an evaluation of our approach. ...
ACKNOWLEDGMENTS We would like to thank the social computing lab at Virginia Tech and University of Washington for their valuable comments and feedback on early drafts of the paper. ...
arXiv:2009.04508v2
fatcat:2qoh6gsgg5g5fnjvz5ljnyrgva
DISTL: Distributed In-Memory Spatio-Temporal Event-based Storyline Categorization Platform in Social Media
2016
Proceedings of the 2nd International Conference on Geographical Information Systems Theory, Applications and Management
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
In this paper, we present DISTL, an event processing platform which takes as input a set of storylines (a sequence of entities and their relationships) and processes them as follows: (1) uses different ...
Event analysis in social media is challenging due to endless amount of information generated daily. ...
Rules Application As each of these rules are applied to a storyline for each event, if any rule is satisfied for a storyline against an event, the storyline is categorized under that event. ...
doi:10.5220/0005831200390050
dblp:conf/gistam/ShuklaSFL16
fatcat:6jya4xqhvfewnkswq6jwpt7i2y
SVEN: Informative Visual Representation of Complex Dynamic Structure
[article]
2014
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
However, both of these classical techniques have significant drawbacks, so a new approach, Storyline Visualization of Events on a Network (SVEN) is proposed. ...
SVEN encodes time in a natural manner, along the horizontal axis, and optimizes the vertical placement of storylines to decrease clutter (line crossings, straightness, and bends) in the drawing. ...
Acknowledgements The authors would like to thank Paul Havig at AFRL for his guidance and helpful comments throughout the project. ...
arXiv:1412.6706v1
fatcat:agdo5nq7h5cfdfud46cs54bty4
Visual storylines: Semantic visualization of movie sequence
2012
Computers & graphics
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
This is achieved with a series of video analysis, image synthesis, relationship quantification and geometric layout optimization techniques. ...
A new type of video visualization, Visual Storylines, is designed to summarize video storylines in an image composition while preserving the style of the original videos. ...
Specifically, we first present an automatic video analysis method to extract possible video storylines by clustering video shots according to both visual and audio data. ...
doi:10.1016/j.cag.2012.02.010
fatcat:qe3ed3v6cvfypi4afweuy26loq
Generating event storylines from microblogs
2012
Proceedings of the 21st ACM international conference on Information and knowledge management - CIKM '12
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Given a query of an ongoing event, we propose to sketch the real-time storyline of the event by a two-level solution. ...
Comprehensive experiments on Twitter data sets demonstrate the effectiveness of the proposed methods in each level and the overall framework. ...
We refer this problem as Generating Event Storyline from Microblogs (GESM). For example, Figure 1 presents the storyline based on an event query of "Egypt Revolution". ...
doi:10.1145/2396761.2396787
dblp:conf/cikm/LinLLWCL12
fatcat:7w2rmpvdpbgevfe27um7i25yyu
AI-Empowered Persuasive Video Generation: A Survey
[article]
2021
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
In order to produce such contents to support a large applications (e.g., e-commerce), the field of artificial intelligence (AI)-empowered persuasive video generation (AIPVG) has gained traction in recent ...
This field is interdisciplinary in nature, which makes it challenging for new researchers to grasp. Currently, there is no comprehensive survey of AIPVG available. ...
Then, for each time segment, a content-based clustering algorithm is used to generate clusters
of VMs. The top 𝐾 clusters are selected as the candidate VMs for generating the storyline. ...
arXiv:2112.09401v1
fatcat:t5bsqo6shbcoleryphaawewevy
Character-Level Neural Translation for Multilingual Media Monitoring in the SUMMA Project
[article]
2016
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Storyline clustering of stories covering the same events is an essential task for inquisitorial media monitoring. ...
The results of this paper describe a novel approach to the automatic story segmentation and storyline clustering problem. ...
This is an order of magnitude slower than regular NEL or IF IDF bagof-words based clustering methods. ...
arXiv:1604.01221v1
fatcat:xagrbwtcozdgdjfks4ikrvq5ry
Nonparametric Bayesian Storyline Detection from Microtexts
[article]
2016
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Other Versions
News events and social media are composed of evolving storylines, which capture public attention for a limited period of time. ...
We evaluate on the TREC Twitter Timeline Generation (TTG), obtaining encouraging results: despite using a weak baseline retrieval model, the dd-CRP story clustering method is competitive with the best ...
This research was supported by an award from the National Institutes for Health (R01GM112697-01), and by Google, through a Focused Research Award for Computational Journalism. ...
arXiv:1601.04580v2
fatcat:bdoucrzahncijpbb3w5t2usjbq
« Previous
Showing results 1 — 15 out of 2,679 results