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Recognition of Sentiment Sequences in Online Discussions

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/qaj.481openalex-snapshot

Putting the Kappa Statistic to Use

inferredcites →https://doi.org/10.1007/978-3-642-12079-4_52openalex-snapshot

Sentiment Propagation in Social Networks: A Case Study in LiveJournal

inferredcites →https://doi.org/10.1007/978-3-642-30353-1_4openalex-snapshot

Learning Sentiments from Tweets with Personal Health Information

inferredcites →https://doi.org/10.1016/j.ipm.2009.08.005openalex-snapshot

Automated opinion detection: Implications of the level of agreement between human raters

inferredcites →https://doi.org/10.1016/j.pec.2010.01.007openalex-snapshot

Coping with infertility online: An examination of self-help mechanisms in an online infertility support group

inferredcites →https://doi.org/10.1145/2020408.2020614openalex-snapshot

User-level sentiment analysis incorporating social networks

inferredcites →https://doi.org/10.1145/2110363.2110390openalex-snapshot

Sentiment lexicons for health-related opinion mining

inferredcites →https://doi.org/10.1371/journal.pone.0022207openalex-snapshot

Collective Emotions Online and Their Influence on Community Life

inferredcites →https://doi.org/10.1609/icwsm.v5i1.14137openalex-snapshot

You Are What You Tweet: Analyzing Twitter for Public Health

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.3108133openalex-extracted

Cross Corpus Emotion Classification Using Survey Data

inferred← citeshttps://doi.org/10.1007/s12559-015-9327-yopenalex-snapshot

What Goes Around Comes Around: Learning Sentiments in Online Medical Forums

inferred← citeshttps://doi.org/10.1080/10410236.2021.1915517openalex-snapshot

The Role of Online Social Support in Patients Undergoing Infertility Treatment – A Comparison of Pregnant and Non-pregnant Members

inferred← citeshttps://doi.org/10.1108/ijwis-05-2020-0029openalex-snapshot

Contrast and conditional polarity rule (CCPR) for detection of positivity and negativity in opinionated sentence with indirect polarity

inferred← citeshttps://doi.org/10.18178/ijmlc.2019.9.2.790openalex-snapshot

SAP: Standard Arabic Profiling Toolset for Textual Analysis

inferred← citeshttps://doi.org/10.18653/v1/n18-2044openalex-snapshot

Multi-Task Learning Framework for Mining Crowd Intelligence towards Clinical Treatment

inferred← citeshttps://doi.org/10.2196/medinform.3783openalex-snapshot

Web-Based Textual Analysis of Free-Text Patient Experience Comments From a Survey in Primary Care

inferred← citeshttps://doi.org/10.48550/arxiv.1702.08866openalex-snapshot

Studying Positive Speech on Twitter

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