Research output per year
Research output per year
Hassan Saif*, Yulan He, Miriam Fernández, Harith Alani
Research output: Chapter in Book/Published conference output › Conference publication
Most existing approaches to Twitter sentiment analysis assume that sentiment is explicitly expressed through affective words. Nevertheless, sentiment is often implicitly expressed via latent semantic relations, patterns and dependencies among words in tweets. In this paper, we propose a novel approach that automatically captures patterns of words of similar contextual semantics and sentiment in tweets. Unlike previous work on sentiment pattern extraction, our proposed approach does not rely on external and fixed sets of syntactical templates/patterns, nor requires deep analyses of the syntactic structure of sentences in tweets. We evaluate our approach with tweet- and entity-level sentiment analysis tasks by using the extracted semantic patterns as classification features in both tasks. We use 9 Twitter datasets in our evaluation and compare the performance of our patterns against 6 state-of-the-art baselines. Results show that our patterns consistently outperform all other baselines on all datasets by 2.19% at the tweet-level and 7.5% at the entity-level in average F-measure.
Original language | English |
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Title of host publication | The Semantic Web – ISWC 2014 |
Subtitle of host publication | 13th International Semantic Web Conference, Riva del Garda, Italy, October 19-23, 2014, proceedings, part II |
Editors | Peter Mika, Tania Tudorache, Abraham Bernstein, Chris Welty, et al |
Place of Publication | Chem (CH) |
Publisher | Springer |
Pages | 324-340 |
Number of pages | 17 |
ISBN (Electronic) | 978-3-319-11915-1 |
ISBN (Print) | 978-3-319-11914-4 |
DOIs | |
Publication status | Published - 31 Dec 2014 |
Event | 13th International Semantic Web Conference - Riva del Garda, Italy Duration: 19 Oct 2014 → 23 Oct 2014 |
Name | Lecture notes in computer science |
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Publisher | Springer |
Volume | 8797 |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference | 13th International Semantic Web Conference |
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Abbreviated title | ISWC 2014 |
Country/Territory | Italy |
City | Riva del Garda |
Period | 19/10/14 → 23/10/14 |
Research output: Chapter in Book/Published conference output › Conference publication
Research output: Chapter in Book/Published conference output › Conference publication
Research output: Chapter in Book/Published conference output › Conference publication