View in EDS PDF Full Text

Identifying subjective statements in news titles using a personal sense annotation framework.

Saved in:
Bibliographic Details
Title: Identifying subjective statements in news titles using a personal sense annotation framework.
Authors: Panicheva, Polina1 polina.panicheva@ittdublin.ie, Cardiff, John1 john.cardiff@ittdublin.ie, Rosso, Paolo2 prosso@dsic.upv.es
Source: Journal of the American Society for Information Science & Technology. Jul2013, Vol. 64 Issue 7, p1411-1422. 12p. 7 Charts.
Subjects: Linguistics -- Methodology, Affect (Psychology), Consciousness, Emotions, Language & languages, Press, Research funding, Self-perception
Abstract: Subjective language contains information about private states. The goal of subjective language identification is to determine that a private state is expressed, without considering its polarity or specific emotion. A component of word meaning, 'Personal Sense,' has clear potential in the field of subjective language identification, as it reflects a meaning of words in terms of unique personal experience and carries personal characteristics. In this paper we investigate how Personal Sense can be harnessed for the purpose of identifying subjectivity in news titles. In the process, we develop a new Personal Sense annotation framework for annotating and classifying subjectivity, polarity, and emotion. The Personal Sense framework yields high performance in a fine-grained subsentence subjectivity classification. Our experiments demonstrate lexico-syntactic features to be useful for the identification of subjectivity indicators and the targets that receive the subjective Personal Sense. [ABSTRACT FROM AUTHOR]
Copyright of Journal of the American Society for Information Science & Technology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
FullText Links:
  – Type: pdflink
Text:
  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 87947625
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Identifying subjective statements in news titles using a personal sense annotation framework.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Panicheva%2C+Polina%22">Panicheva, Polina</searchLink><relatesTo>1</relatesTo><i> polina.panicheva@ittdublin.ie</i><br /><searchLink fieldCode="AR" term="%22Cardiff%2C+John%22">Cardiff, John</searchLink><relatesTo>1</relatesTo><i> john.cardiff@ittdublin.ie</i><br /><searchLink fieldCode="AR" term="%22Rosso%2C+Paolo%22">Rosso, Paolo</searchLink><relatesTo>2</relatesTo><i> prosso@dsic.upv.es</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Journal+of+the+American+Society+for+Information+Science+%26+Technology%22">Journal of the American Society for Information Science & Technology</searchLink>. Jul2013, Vol. 64 Issue 7, p1411-1422. 12p. 7 Charts.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Linguistics+--+Methodology%22">Linguistics -- Methodology</searchLink><br /><searchLink fieldCode="DE" term="%22Affect+%28Psychology%29%22">Affect (Psychology)</searchLink><br /><searchLink fieldCode="DE" term="%22Consciousness%22">Consciousness</searchLink><br /><searchLink fieldCode="DE" term="%22Emotions%22">Emotions</searchLink><br /><searchLink fieldCode="DE" term="%22Language+%26+languages%22">Language & languages</searchLink><br /><searchLink fieldCode="DE" term="%22Press%22">Press</searchLink><br /><searchLink fieldCode="DE" term="%22Research+funding%22">Research funding</searchLink><br /><searchLink fieldCode="DE" term="%22Self-perception%22">Self-perception</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Subjective language contains information about private states. The goal of subjective language identification is to determine that a private state is expressed, without considering its polarity or specific emotion. A component of word meaning, 'Personal Sense,' has clear potential in the field of subjective language identification, as it reflects a meaning of words in terms of unique personal experience and carries personal characteristics. In this paper we investigate how Personal Sense can be harnessed for the purpose of identifying subjectivity in news titles. In the process, we develop a new Personal Sense annotation framework for annotating and classifying subjectivity, polarity, and emotion. The Personal Sense framework yields high performance in a fine-grained subsentence subjectivity classification. Our experiments demonstrate lexico-syntactic features to be useful for the identification of subjectivity indicators and the targets that receive the subjective Personal Sense. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of the American Society for Information Science & Technology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=87947625
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1002/asi.22841
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 12
        StartPage: 1411
    Subjects:
      – SubjectFull: Linguistics -- Methodology
        Type: general
      – SubjectFull: Affect (Psychology)
        Type: general
      – SubjectFull: Consciousness
        Type: general
      – SubjectFull: Emotions
        Type: general
      – SubjectFull: Language & languages
        Type: general
      – SubjectFull: Press
        Type: general
      – SubjectFull: Research funding
        Type: general
      – SubjectFull: Self-perception
        Type: general
    Titles:
      – TitleFull: Identifying subjective statements in news titles using a personal sense annotation framework.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Panicheva, Polina
      – PersonEntity:
          Name:
            NameFull: Cardiff, John
      – PersonEntity:
          Name:
            NameFull: Rosso, Paolo
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 07
              Text: Jul2013
              Type: published
              Y: 2013
          Identifiers:
            – Type: issn-print
              Value: 15322882
          Numbering:
            – Type: volume
              Value: 64
            – Type: issue
              Value: 7
          Titles:
            – TitleFull: Journal of the American Society for Information Science & Technology
              Type: main
ResultId 1