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

Polina Panicheva, John Cardiff, Paolo Rosso

    Research output: Contribution to journalArticlepeer-review

    1 Citation (Scopus)

    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.

    Original languageEnglish
    Pages (from-to)1411-1422
    Number of pages12
    JournalJournal of the American Society for Information Science and Technology
    Volume64
    Issue number7
    DOIs
    Publication statusPublished - Jul 2013

    Keywords

    • natural language processing

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