Currently browsing: Items authored or edited by Hassan Saif

24 items in this list.
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Burel, Gregoire; Saif, Hassan and Alani, Harith (2017). Semantic Wide and Deep Learning for Detecting Crisis-Information Categories on Social Media. In: The Semantic Web – ISWC 2017, Springer, pp. 138–155.

Burel, Gregoire; Saif, Hassan; Fernandez, Miriam and Alani, Harith (2017). On Semantics and Deep Learning for Event Detection in Crisis Situations. In: Workshop on Semantic Deep Learning (SemDeep), at ESWC 2017, 29 May 2017, Portoroz, Slovenia.

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Cano, Amparo Elizabeth; Saif, Hassan; Alani, Harith and Motta, Enrico (2016). Semantic Topic Compass – Classification Based on Unsupervised Feature Ambiguity Gradation. Lecture Notes in Computer Science, 9678 pp. 350–367.

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He, Yulan; Saif, Hassan; Wei, Zhongyu and Wong, Kam-Fai (2012). Quantising opinions for political tweets analysis. In: LREC 2012, Eighth International Conference on Language Resources and Evaluation, 21-27 May 2012, Istanbul, Turkey.

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Rowe, Matthew and Saif, Hassan (2016). Mining Pro-ISIS Radicalisation Signals from Social Media Users. In: Proceedings of the Tenth International AAAI Conference on Web and Social Media (ICWSM 2016) pp. 329–338.

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Saif, Hassan (2017). Semantic Sentiment Analysis in Social Streams. Studies on the Semantic Web, 30. IOS Press.

Saif, Hassan; Dickinson, Thomas; Kastler, Leon; Fernandez, Miriam and Alani, Harith (2017). A Semantic Graph-Based Approach for Radicalisation Detection on Social Media. In: ESWC 2017: The Semantic Web - Proceedings, Part I, Lecture Notes in Computer Science, Springer, pp. 571–587.

Saif, Hassan; Fernández, Miriam; Kastler, Leon and Alani, Harith (2017). Sentiment Lexicon Adaptation with Context and Semantics for the Social Web. Semantic Web Journal, 8(5) pp. 643–665.

Saif, Hassan; Fernández, Miriam; Rowe, Matthew and Alani, Harith (2016). On the Role of Semantics for Detecting pro-ISIS Stances on Social Media. In: Proceedings of the ISWC 2016 Posters & Demonstrations Track co-located with 15th International Semantic Web Conference (ISWC 2016), article no. 66.

Saif, Hassan; Ortega, F. Javier; Fernández, Miriam and Cantador, Iván (2016). Sentiment Analysis in Social Streams. In: Tkalčič, Marko; De Carolis, Berardina; de Gemmis, Marco; Odić, Ante and Košir, Andrej eds. Emotions and Personality in Personalized Services: Models, Evaluation and Applications. Human-Computer Interaction Series. Springer, pp. 119–140.

Saif, Hassan; He, Yulan; Fernández, Miriam and Alani, Harith (2016). Contextual semantics for sentiment analysis of Twitter. Information Processing and Management, 52(1) pp. 5–19.

Saif, Hassan; Bashevoy, Maxim; Taylor, Steve; Fernández, Miriam and Alani, Harith (2016). SentiCircles: A Platform for Contextual and Conceptual Sentiment Analysis. In: ESWC2016: European Semantic Web Conference, 29 May - 02 Jun 2016, Anissaras, Crete, Greece.

Saif, Hassan; Fernández, Miriam; Kastler, Leon and Alani, Harith (2016). A Linked Open Data Approach for Sentiment Lexicon Adaptation. In: The 4th International Workshop on Linked Data for Information Extraction, ISWC Conference, 18 Oct 2016.

Saif, Hassan (2015). Semantic Sentiment Analysis of Microblogs. Doctor of Philosophy (PhD) thesis The Open University.

Saif, Hassan; He, Yulan; Fernández, Miriam and Alani, Harith (2014). Semantic patterns for sentiment analysis of Twitter. In: The Semantic Web – ISWC 2014, Springer International Publishing, pp. 324–340.

Saif, Hassan; Fernández, Miriam and Alani, Harith (2014). Automatic stopword generation using contextual semantics for sentiment analysis of Twitter. In: Proceedings of the ISWC 2014 Posters & Demonstrations Track.

Saif, Hassan; He, Yulan; Fernández, Miriam and Alani, Harith (2014). Adapting sentiment lexicons using contextual semantics for sentiment analysis of Twitter. In: The Semantic Web: ESWC 2014 Satellite Events, Springer International Publishing, pp. 54–63.

Saif, Hassan; Fernández, Miriam; He, Yulan and Alani, Harith (2014). SentiCircles for contextual and conceptual semantic sentiment analysis of Twitter. In: The Semantic Web: Trends and Challenges: 11th International Conference, ESWC 2014, Anissaras, Crete, Greece, May 25-29, 2014. Proceedings, Lecture Notes in Computer Science, Springer Internatioal Publishing, pp. 83–98.

Saif, Hassan; Fernández, Miriam; He, Yulan and Alani, Harith (2014). On stopwords, filtering and data sparsity for sentiment analysis of Twitter. In: LREC 2014, Ninth International Conference on Language Resources and Evaluation. Proceedings., pp. 810–817.

Saif, Hassan; Fernández, Miriam; He, Yulan and Alani, Harith (2013). Evaluation datasets for Twitter sentiment analysis: a survey and a new dataset, the STS-Gold. In: 1st Interantional Workshop on Emotion and Sentiment in Social and Expressive Media: Approaches and Perspectives from AI (ESSEM 2013), 3 Dec 2013, Turin, Italy.

Saif, Hassan; He, Yulan and Alani, Harith (2012). Semantic sentiment analysis of twitter. In: The 11th International Semantic Web Conference (ISWC 2012), 11-15 Nov 2012, Boston, MA, USA.

Saif, Hassan; He, Yulan and Alani, Harith (2012). Alleviating data sparsity for Twitter sentiment analysis. In: 2nd Workshop on Making Sense of Microposts (#MSM2012): Big things come in small packages at the 21st International Conference on theWorld Wide Web (WWW'12), 16 Apr 2012, Lyon, France, CEUR Workshop Proceedings (CEUR-WS.org), pp. 2–9.

Saif, Hassan; He, Yulan and Alani, Harith (2011). Semantic smoothing for Twitter sentiment analysis. In: 10th International Semantic Web Conference (ISWC 2011), 23-27 Oct 2011, Bonn, Germany.

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Uren, Victoria; Wright, Daniel; Scott, James; He, Yulan and Saif, Hassan (2016). Social media and sentiment in bioenergy consultation. International Journal of Energy Sector Management, 10(1) pp. 87–98.

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