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Semantic Sentiment Analysis of Twitter.

H. Saif, Y. He, and H. Alani. International Semantic Web Conference (1), volume 7649 of Lecture Notes in Computer Science, page 508-524. Springer, (2012)

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Dr. -Ing. Hassan Gomaa University of Stuttgart

Asmaa Hassan University of Stuttgart

Hassan Hayeri University of Stuttgart

Mohamed Hassan University of Stuttgart

Muhammad Khubaib ul Hassan Khan University of Stuttgart

Other publications of authors with the same name

Sentiment Analysis in Social Streams.H. Saif, F. Ortega, M. Fernández, and I. Cantador. Emotions and Personality in Personalized Services, Springer, (2017)A Sub-nW Fully Integrated Switched-Capacitor Energy Harvester for Implantable Applications.H. Lee, E. Jang, H. Saif, Y. Lee, M. Kim, M. Khan, and Y. Lee. ESSCIRC, page 50-53. IEEE, (2018)Adapting Sentiment Lexicons using Contextual Semantics for Twitter Sentiment Analysis.H. Saif, Y. He, M. Fernández, and H. Alani. SSA-SMILE@ESWC, volume 1329 of CEUR Workshop Proceedings, page 5-12. CEUR-WS.org, (2014)Sentiment lexicon adaptation with context and semantics for the social web.H. Saif, M. Fernández, L. Kastler, and H. Alani. Semantic Web, 8 (5): 643-665 (2017)Quantising Opinions for Political Tweets Analysis.Y. He, H. Saif, Z. Wei, and K. Wong. LREC, page 3901-3906. European Language Resources Association (ELRA), (2012)Evaluation Datasets for Twitter Sentiment Analysis: A survey and a new dataset, the STS-Gold.H. Saif, M. Fernández, Y. He, and H. Alani. ESSEM@AI*IA, volume 1096 of CEUR Workshop Proceedings, page 9-21. CEUR-WS.org, (2013)Automatic Stopword Generation using Contextual Semantics for Sentiment Analysis of Twitter.H. Saif, M. Fernández, and H. Alani. International Semantic Web Conference (Posters & Demos), volume 1272 of CEUR Workshop Proceedings, page 281-284. CEUR-WS.org, (2014)Semantic Wide and Deep Learning for Detecting Crisis-Information Categories on Social Media.G. Burel, H. Saif, and H. Alani. International Semantic Web Conference (1), volume 10587 of Lecture Notes in Computer Science, page 138-155. Springer, (2017)Alleviating Data Sparsity for Twitter Sentiment Analysis.H. Saif, Y. He, and H. Alani. #MSM, volume 838 of CEUR Workshop Proceedings, page 2-9. CEUR-WS.org, (2012)Adapting Sentiment Lexicons Using Contextual Semantics for Sentiment Analysis of Twitter.H. Saif, Y. He, M. Fernández, and H. Alani. ESWC (Satellite Events), volume 8798 of Lecture Notes in Computer Science, page 54-63. Springer, (2014)