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Assessment Description Text documents, such as long recordings and meeting transcripts, are usually comprised of topically coherent text segments, each of which contains some number of text passages. Within each topically coherent segment, one would expect that the word usage demonstrates more consistent lexical distributions than that across segments. A linear partition of texts into

CS918: 2017-18 Exercise two: Sentiment classification for social media. Submission: 12 pm (midday) Monday March 19th 2018 Notes: a) Thisexercisewillcontributetowards15%ofyouroverallmark. b) Submission should be made on Tabula and should include a .zip file with Python code and a report of 3-5 pages summarising the techniques and features you’ve used for the classification, as well as

 cwi.md Class project: Complex Word Identification Andreas Vlachos and Fernando E Alva Manchego The goal of the lab sessions in weeks 3, 5, 6, 8 and 10 is to develop a system for the Complex Word Identification shared task https://sites.google.com/view/cwisharedtask2018/. The demonstrators and myself will be available during the lab sessions to help you if/when you

1 Language Modelling One of the most basic tasks for handling textual context is language modelling, which is an unsupervised machine learning problem. In this assignment, you will explore the usage of language modelling for predicting which emoji a tweet will likely end with. This could later form the basis of an opinion mining model.