research-article

Automatic Identification of Personal Life Events in Twitter

Authors:

Harith AlaniAuthors Info & Claims

WebSci '15: Proceedings of the ACM Web Science Conference

Article No.: 37, Pages 1 - 2

https://doi.org/10.1145/2786451.2786513

Published: 28 June 2015 Publication History

Get Access

Abstract

New social media has led to an explosion in personal digital data that encompasses both those expressions of self chosen by the individual as well as reflections of self provided by other, third parties. The resulting Digital Personhood (DP) data is complex and for many users it is too easy to become lost in the mire of digital data. This paper studies the automatic detection of personal life events in Twitter. Six relevant life events are considered from psychological research including: beginning school; first full time job; falling in love; marriage; having children and parent's death. We define a variety of features (user, content, semantic and interaction) to capture the characteristics of those life events and present the results of several classification methods to automatically identify these events in Twitter.

References

[1]

S. Choudhury and H. Alani. Personal life event detection from social media. 2014.

Google Scholar

[2]

B. D. Eugenio, N. Green, and R. Subba. Detecting Life Events in Feeds from Twitter. 2013 IEEE Seventh International Conference on Semantic Computing, pages 274--277, Sept. 2013.

Digital Library

Google Scholar

[3]

S. M. Janssen and D. C. Rubin. Age effects in cultural life scripts. Applied Cognitive Psychology, 25(2):291--298, 2011.

Crossref

Google Scholar

[4]

J. L. Li, A. Ritter, C. Cardie, and E. H. Hovy. Major life event extraction from twitter based on congratulations/condolences speech acts. In EMNLP, 2014.

Crossref

Google Scholar

[5]

T. Sakaki, M. Okazaki, and Y. Matsuo. Earthquake shakes Twitter users: real-time event detection by social sensors. ... of the 19th international conference on ..., 2010.

Digital Library

Google Scholar

[6]

C. L. Wayne. Topic detection and tracking in english and chinese. In Proceedings of the Fifth International Workshop on on Information Retrieval with Asian Languages, IRAL '00, pages 165--172. ACM, 2000.

Digital Library

Google Scholar

Cited By

View all

Galvão VMaciel CPereira VGarcia APereira RViterbo JMonteiro Ida Hora Rodrigues Kde Gois Ribeiro Darin TFreire AMota M(2021)Posthumous data at stake: An Overview of Digital Immortality IssuesProceedings of the XX Brazilian Symposium on Human Factors in Computing Systems10.1145/3472301.3484358(1-8)Online publication date: 18-Oct-2021
https://dl.acm.org/doi/10.1145/3472301.3484358
Hazimeh HMugellini ERuffieux SKhaled OCudré-Mauroux P(2018)Automatic Embedding of Social Network Profile Links into Knowledge GraphsProceedings of the 9th International Symposium on Information and Communication Technology10.1145/3287921.3287926(16-23)Online publication date: 6-Dec-2018
https://dl.acm.org/doi/10.1145/3287921.3287926

Index Terms

Automatic Identification of Personal Life Events in Twitter
1. Information systems
  1. Information systems applications
    1. Data mining

Recommendations

Identifying Prominent Life Events on Twitter
K-CAP '15: Proceedings of the 8th International Conference on Knowledge Capture

Social media is a common place for people to post and share digital reflections of their life events, including major events such as getting married, having children, graduating, etc. Although the creation of such posts is straightforward, the ...
Predicting Personal Life Events from Streaming Social Content
CIKM '18: Proceedings of the 27th ACM International Conference on Information and Knowledge Management

Researchers have shown that it is possible to identify reported instances of personal life events from users' social content, e.g., tweets. This is known as personal life event detection. In this paper, we take a step forward and explore the possibility ...
Detecting Personal Life Events from Twitter by Multi-Task LSTM
WWW '18: Companion Proceedings of the The Web Conference 2018

People are used to log their life on the social media platform. Life event can be expressed explicitly or implicitly in a text description. However, a description does not always contain life events related to a specific individual. To tell if there ...

Comments

Information & Contributors

Information

Published In

WebSci '15: Proceedings of the ACM Web Science Conference

June 2015

366 pages

ISBN:9781450336727

DOI:10.1145/2786451

Conference Chair:
David De Roure,
Program Chairs:
Pete Burnap,
Susan Halford

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 28 June 2015

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Qualifiers

Research-article
Research
Refereed limited

Conference

WebSci '15

Sponsor:

SIGWEB

WebSci '15: ACM Web Science Conference

June 28 - July 1, 2015

Oxford, United Kingdom

Acceptance Rates

Overall Acceptance Rate 245 of 933 submissions, 26%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

2
Total Citations
View Citations
60
Total Downloads

Downloads (Last 12 months)2
Downloads (Last 6 weeks)0

Reflects downloads up to 15 Sep 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Galvão VMaciel CPereira VGarcia APereira RViterbo JMonteiro Ida Hora Rodrigues Kde Gois Ribeiro Darin TFreire AMota M(2021)Posthumous data at stake: An Overview of Digital Immortality IssuesProceedings of the XX Brazilian Symposium on Human Factors in Computing Systems10.1145/3472301.3484358(1-8)Online publication date: 18-Oct-2021
https://dl.acm.org/doi/10.1145/3472301.3484358
Hazimeh HMugellini ERuffieux SKhaled OCudré-Mauroux P(2018)Automatic Embedding of Social Network Profile Links into Knowledge GraphsProceedings of the 9th International Symposium on Information and Communication Technology10.1145/3287921.3287926(16-23)Online publication date: 6-Dec-2018
https://dl.acm.org/doi/10.1145/3287921.3287926

View Options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Cited By

Index Terms

Recommendations

Identifying Prominent Life Events on Twitter

Predicting Personal Life Events from Streaming Social Content

Detecting Personal Life Events from Twitter by Multi-Task LSTM

Comments

Published In

Sponsors

Publisher

Publication History

Permissions

Check for updates

Qualifiers

Conference

Acceptance Rates

Other Metrics

Article Metrics

Other Metrics

Cited By

Login options

Full Access

PDF

eReader

Abstract

References

Cited By

Index Terms

Recommendations

Identifying Prominent Life Events on Twitter

Predicting Personal Life Events from Streaming Social Content

Detecting Personal Life Events from Twitter by Multi-Task LSTM

Comments

Information

Published In

Sponsors

Publisher

Publication History

Permissions

Check for updates

Qualifiers

Conference

Acceptance Rates

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

Get Access

Login options

Full Access

View options

PDF

eReader

Figures

Other

Share

Share this Publication link

Share on social media

Affiliations