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  • × author_ss:"Alani, H."
  • × language_ss:"e"
  1. Tudhope, D.; Alani, H.; Jones, C.: Augmenting thesaurus relationships : possibilities for retrieval (2001) 0.00 
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    Footnote
    Vgl.: http://journals.tdl.org/jodi/index.php/jodi/article/view/181. Vgl. auch: http://journals.tdl.org/jodi/index.php/jodi/article/viewArticle/181/160. Vgl. auch: http://oro.open.ac.uk/20065/1/Tudhope_JoDI.pdf.
    Source
    Journal of digital information. 1(2001) no.8
    Theme
    Konzeption und Anwendung des Prinzips Thesaurus
  2. Saif, H.; He, Y.; Fernandez, M.; Alani, H.: Contextual semantics for sentiment analysis of Twitter (2016) 0.00 
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    Abstract
    Sentiment analysis on Twitter has attracted much attention recently due to its wide applications in both, commercial and public sectors. In this paper we present SentiCircles, a lexicon-based approach for sentiment analysis on Twitter. Different from typical lexicon-based approaches, which offer a fixed and static prior sentiment polarities of words regardless of their context, SentiCircles takes into account the co-occurrence patterns of words in different contexts in tweets to capture their semantics and update their pre-assigned strength and polarity in sentiment lexicons accordingly. Our approach allows for the detection of sentiment at both entity-level and tweet-level. We evaluate our proposed approach on three Twitter datasets using three different sentiment lexicons to derive word prior sentiments. Results show that our approach significantly outperforms the baselines in accuracy and F-measure for entity-level subjectivity (neutral vs. polar) and polarity (positive vs. negative) detections. For tweet-level sentiment detection, our approach performs better than the state-of-the-art SentiStrength by 4-5% in accuracy in two datasets, but falls marginally behind by 1% in F-measure in the third dataset.
    Source
    Information processing and management. 52(2016) no.1, S.5-19

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