An analytical approach to assess sentiment of text

Mostafa Al Masum Shaikh, Helmut Prendinger, Mitsuru Ishizuka

研究成果: Conference contribution

3 引用 (Scopus)

抜粋

Sentiment (i.e., bad or good opinion) described in texts has been studied widely, and at three different levels: word, sentence, and document level. This paper describes a well-founded approach for the task of sentence level sentiment analysis by studying the relationship between sentiments conveyed through texts and structure of natural language by a method of numerical analysis. Different approaches have been employed to "sense" sentiment, especially from the texts, but none of those ever considered the valence based appraisal structure of sentiments which we have employed. Therefore the paper describes an approach to sense sentiments contained in a sentence by applying a numerical-valence based analysis. To meet this objective a linguistic tool, SenseNet, has been developed that provides lexical-units on the basis of each semantic verb frame obtained from the input sentence; assigns a numerical value to those based on their sense affinity; assesses the values using rules; and finally outputs sense-valence for each input sentence. Several experiments with a variety of datasets containing data from different domains have been conducted. The obtained results indicate significant performance gains over existing state-of-the-art approaches.

元の言語English
ホスト出版物のタイトル2007 10th International Conference on Computer and Information Technology, ICCIT
DOI
出版物ステータスPublished - 2007
外部発表Yes
イベント2007 10th International Conference on Computer and Information Technology, ICCIT - Dhaka
継続期間: 2007 12 272007 12 29

Other

Other2007 10th International Conference on Computer and Information Technology, ICCIT
Dhaka
期間07/12/2707/12/29

ASJC Scopus subject areas

  • Computer Science Applications
  • Software

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  • これを引用

    Shaikh, M. A. M., Prendinger, H., & Ishizuka, M. (2007). An analytical approach to assess sentiment of text. : 2007 10th International Conference on Computer and Information Technology, ICCIT [4579359] https://doi.org/10.1109/ICCITECHN.2007.4579359