Results 1 - 10 of 559

TOWARDS AN ONTOLOGY-BASED APPROACH FOR SOCIAL MEDIA ANALYSIS

by Rainer Alt, Matthias Wittwer
"... Social Media have emerged as an additional interaction channel for companies with their partners, employees and customers. However, the pace of interaction in this channel is as high as the data volume that may be relevant for businesses. Therefore, mechanisms other than manually monitoring and anal ..."
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ontologies by automatically extracting knowledge from existing enterprise application systems. For this

An Ontology-Based Approach to Social Media Mining for Crisis Management

by Vanni Zavarella, Hristo Tanev, Ralf Steinberger, Erik Van Der Goot
"... Abstract. We describe an existing multilingual information extraction system that automatically detects event information on disasters, conflicts and health threats in near-real time from a continuous flow of on-line news articles. We illus-trate a number of strategies for customizing the system to ..."
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Abstract. We describe an existing multilingual information extraction system that automatically detects event information on disasters, conflicts and health threats in near-real time from a continuous flow of on-line news articles. We illus-trate a number of strategies for customizing the system

Campaign Extraction from Social Media

by Kyumin Lee, James Caverlee, Zhiyuan Cheng, Daniel Z. Sui , 2013
"... In this manuscript, we study the problem of detecting coordinated free text campaigns in large-scale social media. These campaigns—ranging from coordinated spam messages to promotional and advertising campaigns to political astro-turfing—are growing in significance and reach with the commensurate ri ..."
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rise in massive-scale social systems. Specifically, we propose and evaluate a content-driven framework for effectively linking free text posts with common “talking points” and extracting campaigns from large-scale social media. Three of the salient features of the campaign extraction framework are: (i

An Error Analysis of Relation Extraction in Social Media Documents

by Gregory Ichneumon Brown
"... Relation extraction in documents allows the detection of how entities being discussed in a document are related to one another (e.g. partof). This paper presents an analysis of a relation extraction system based on prior work but applied to the J.D. Power and Associates Sentiment Corpus to examine h ..."
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how the system works on documents from a range of social media. The results are examined on three different subsets of the JDPA Corpus, showing that the system performs much worse on documents from certain sources. The proposed explanation is that the features used are more appropriate to text

Designing an Ontology of Social Place

by Alessia Calafiore
"... Abstract. So far, the notion of place has been involved in many conceptual schemas, vocabularies and ontologies. Notably, the concept has been articulated in divergent ways mostly referred to a space-centered perspective of places. With the emergence of the so-called Volunteered Geographic Informat ..."
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Information (VGI) systems and geo-social media we are facing an expanding availability of spatio-temporal data. Data collected with these technologies is generally expression of the social function of space rather then to its physical characteristics. However, existing ontologies and conceptual schemas fail

Streaming first story detection with application to Twitter

by Sasa Petrovic, Miles Osborne, Victor Lavrenko - IN PROCEEDINGS OF THE 11TH ANNUAL CONFERENCE OF THE NORTH AMERICAN CHAPTER OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (NAACL HLT 2010 , 2010
"... With the recent rise in popularity and size of social media, there is a growing need for systems that can extract useful information from this amount of data. We address the problem of detecting new events from a stream of Twitter posts. To make event detection feasible on web-scale corpora, we pres ..."
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With the recent rise in popularity and size of social media, there is a growing need for systems that can extract useful information from this amount of data. We address the problem of detecting new events from a stream of Twitter posts. To make event detection feasible on web-scale corpora, we

Materials for an exploratory theory of the network society.

by Manuel Castells , Anthony Giddens , Alain Touraine , Anthony Smith , Benjamin Barber , Peter Hall , Roger-Pol Droit , Sophie Watson , Frank Webster , Krishan Kumar , David Lyon , Craig Calhoun , Jeffrey Henderson , Ramon Ramos , Jose E Rodrigues-Ibanez , Jose F Tezanos , Mary Kaldor , Stephen Jones , Christopher Freeman - The British Journal of Sociology , 2000
"... ABSTRACT This article aims at proposing some elements for a grounded theor y of the network society. The network society is the social structure characteristic of the Information Age, as tentatively identi ed by empirical, cross-cultural investigation. It permeates most societies in the world, in v ..."
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emphasis on deregulation and liberalization; the failed restructuring of statism unable to adapt itself to informationalism; the in uence of libertarian ideology arising from the countercultural social movements of the 1960s; and the development of a new media system, enclosing cultural expressions in a

Entity Extraction from Social Media using Machine Learning Approaches

by Sombuddha Choudhury , Somnath Banerjee , Sudip Kumar Naskar , Paolo Rosso , Sivaji Bandyopadhyay
"... ABSTRACT In this work, we describe an automatic entity extraction system for social media content in English as part of our participation in the shared task on Entity Extraction from Social Media Text in Indian Languages (ESM-IL) organized by Forum for Information Retrieval Evaluation (FIRE) in 201 ..."
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ABSTRACT In this work, we describe an automatic entity extraction system for social media content in English as part of our participation in the shared task on Entity Extraction from Social Media Text in Indian Languages (ESM-IL) organized by Forum for Information Retrieval Evaluation (FIRE

Extracting Information Nuggets from Disaster- Related Messages in Social Media

by Muhammad Imran, Shady Elbassuoni, Carlos Castillo, Fernando Diaz, Patrick Meier
"... Microblogging sites such as Twitter can play a vital role in spreading information during “natural ” or man-made disasters. But the volume and velocity of tweets posted during crises today tend to be extremely high, making it hard for disaster-affected communities and professional emergency responde ..."
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information can accelerate disaster response and alleviate both property and human losses. In this paper, we describe automatic methods for extracting information from microblog posts. Specifically, we focus on extracting valuable “information nuggets”, brief, self-contained information items relevant

Assisting Coordination during Crisis: A Domain Ontology based Approach to Infer Resource Needs from Tweets

by Core Scholar, From Tweets, Shreyansh Bhatt, Hemant Purohit, Andrew Hampton, Valerie L. Shalin, Amit P. Sheth, Shreyansh Bhatt, Hemant Purohit, Andrew Hampton, Valerie L. Shalin, Amit P. Sheth, John Flach
"... Ubiquitous social media during crises provides citizen reports on the situation, needs and supplies. Previous research extracts resource needs directly from the text (e.g. “Power cut to Coney Island and Brighton beach ” indicates a power need). This approach assumes that citizens derive and write ab ..."
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Ubiquitous social media during crises provides citizen reports on the situation, needs and supplies. Previous research extracts resource needs directly from the text (e.g. “Power cut to Coney Island and Brighton beach ” indicates a power need). This approach assumes that citizens derive and write
Results 1 - 10 of 559