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  1. Proceedings of the First International Workshop on Issues of Sentiment Discovery and Opinion Mining (WISDOM '12)
  2. Fast learning for sentiment analysis on bullying
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A Bayesian modeling approach to multi-dimensional sentiment distributions prediction
A unified graph model for Chinese product review summarization using richer information
Transverse subjectivity classification
Retrieval approach to extract opinions about people from resource scarce language news articles
Combining lexicon and learning based approaches for concept-level sentiment analysis
Predicting collective sentiment dynamics from time-series social media
A generic approach to generate opinion lists of phrases for opinion mining applications
Finding emotion in image descriptions
Crowdsourcing recommendations from social sentiment
Fast learning for sentiment analysis on bullying

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Fast learning for sentiment analysis on bullying

Content Provider ACM Digital Library
Author Zhu, Xiaojin Bellmore, Amy Xu, Jun-Ming
Abstract Bullying is a serious national health issue among adolescents. Social media offers a new opportunity to study bullying in both physical and cyber worlds. Sentiment analysis has the potential to identify victims who pose high risk to themselves or others, and to enhance the scientific understanding of bullying overall. We identify seven emotions common in bullying. While some of the emotions are well-studied before, others are non-standard in the sentiment analysis literature. We propose a fast training procedure to recognize these emotions without explicitly producing a conventional labeled training dataset. We apply our procedure to social media posts on bullying and discuss our findings.
Starting Page 1
Ending Page 6
Page Count 6
File Format PDF
ISBN 9781450315432
DOI 10.1145/2346676.2346686
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2012-08-12
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Bullying Sentiment analysis Social media mining
Content Type Text
Resource Type Article
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