tutorial

Text stream processing

Authors:

Dunja Mladenić,

Marko Grobelnik,

Blaž Fortuna, and

Delia RusuAuthors Info & Claims

WIMS '12: Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics

June 2012

Article No.: 5, Pages 1 - 5

https://doi.org/10.1145/2254129.2254138

Published: 13 June 2012 Publication History

Abstract

The aim of this tutorial is to present an overview of text stream processing starting with a description and properties of text streams, and continuing with a series of text processing techniques and their applicability to text streams. Among the text processing techniques we are going to describe entity extraction and resolution, event and fact extraction, word sense disambiguation, sentiment analysis, summarization, social network analysis, all in the context of text streams.

The goal is to present the list of problems and challenges arising when processing text streams and to show how they can be approached using text mining, natural language processing and semantic analysis techniques and tools. The tutorial will describe available approaches and show some demos on text data streams, using publicly available tools.

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Cited By

Hagras MHassan GFarag N(2017)Towards Natural Disasters Detection from Twitter Using Topic Modelling2017 European Conference on Electrical Engineering and Computer Science (EECS)10.1109/EECS.2017.57(272-279)Online publication date: Nov-2017
https://doi.org/10.1109/EECS.2017.57

Index Terms

Text stream processing
1. Computing methodologies
  1. Artificial intelligence
    1. Natural language processing
      1. Language resources
2. Information systems
  1. Information systems applications
    1. Data mining

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Information & Contributors

Information

Published In

cover image ACM Other conferences

WIMS '12: Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics

June 2012

571 pages

ISBN:9781450309158

DOI:10.1145/2254129

Conference Chair:
Dumitru Dan Burdescu
University of Craiova, Romania
,
Program Chairs:
Rajendra Akerkar
Western Norway Research Institute, Norway
,
Costin Bădică
SUniversity of Craiova, Romania

Copyright © 2012 Authors.

Sponsors

UCV: University of Craiova
WNRI: Western Norway Research Institute

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 June 2012

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Tutorial

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Seventh Framework Programme

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WIMS '12

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UCV
WNRI

WIMS '12: 2nd International Conference on Web Intelligence, Mining and Semantics

June 13 - 15, 2012

Craiova, Romania

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Cited By

Hagras MHassan GFarag N(2017)Towards Natural Disasters Detection from Twitter Using Topic Modelling2017 European Conference on Electrical Engineering and Computer Science (EECS)10.1109/EECS.2017.57(272-279)Online publication date: Nov-2017
https://doi.org/10.1109/EECS.2017.57

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