Affect Classification in Tweets using Multitask Deep Neural Networks
Abstract
References
- Affect Classification in Tweets using Multitask Deep Neural Networks
Recommendations
An analysis of influential users for predicting the popularity of news tweets
PRICAI'16: Proceedings of the 14th Pacific Rim International Conference on Trends in Artificial IntelligenceTwitter plays an important role in today social network. Its key mechanism is retweet that disseminates information to broad audiences within a very short time and help increases the popularity of the social content. Therefore, an effective model for ...
Analyzing and predicting viral tweets
WWW '13 Companion: Proceedings of the 22nd International Conference on World Wide WebTwitter and other microblogging services have become indispensable sources of information in today's web. Understanding the main factors that make certain pieces of information spread quickly in these platforms can be decisive for the analysis of ...
Analysis of Tweets Related to Cyberbullying: Exploring Information Diffusion and Advice Available for Cyberbullying Victims
The use of Twitter, especially by teenagers and young people, has raised the issue of cyberbullying. There is a lack of research into what types of advice and support are available in tweets for cyberbullying victims, and into the features influencing ...
Comments
Information & Contributors
Information
Published In
![cover image ACM Conferences](https://dl.acm.org/cms/asset/3021acd7-1626-497b-9632-15af0e3b4e9b/3442442.cover.jpg)
Sponsors
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Check for updates
Author Tags
Qualifiers
- Research-article
- Research
- Refereed limited
Conference
Acceptance Rates
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 98Total Downloads
- Downloads (Last 12 months)21
- Downloads (Last 6 weeks)0
Other Metrics
Citations
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.
Sign inFull Access
View options
View or Download as a PDF file.
PDFeReader
View online with eReader.
eReaderHTML Format
View this article in HTML Format.
HTML Format