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Event structure detection and representation using deep learning

. University of Manchester, UK, (2020)British Library, EThOS.

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Optimizing Support Vector Machine in classifying sentiments on product brands from Twitter., and . IISA, page 75-80. IEEE, (2014)Agent-Based Methods for Simulation of Epidemics with a Low Number of Infected Persons., , , and . ICT-EurAsia, volume 8407 of Lecture Notes in Computer Science, page 21-28. Springer, (2014)Automatic misconception diagnosis in multiple language learning over social networks., , , and . IISA, page 1-6. IEEE, (2013)Affect Recognition through Facebook for Effective Group Profiling Towards Personalized Instruction., , and . Informatics Educ., 15 (1): 147-161 (2016)Optimizing N-gram based text feature selection in sentiment analysis for commercial products in Twitter through polarity lexicons., and . IISA, page 94-97. IEEE, (2014)Mining relationships among user clusters in Facebook for language learning., , , and . CITS, page 1-5. IEEE, (2013)Learning to recognise named entities in tweets by exploiting weakly labelled data., , and . NUT@COLING, page 153-163. The COLING 2016 Organizing Committee, (2016)An Empirical Study on End-to-End Sentence Modelling.. ACL (Student Research Workshop), page 128-135. Association for Computational Linguistics, (2017)A method to support dynamic domain model based on user interests for effective language learning., , and . IISA, page 322-325. IEEE, (2014)Sentiment analysis of Facebook statuses using Naive Bayes classifier for language learning., , , , and . IISA, page 1-6. IEEE, (2013)