Computer Science 401 St. George Campus Red team, blue team: Identifying political persuasion on Reddit Introduction This assignment will give you experience with a social media corpus (i.e., a collection of posts from Reddit), Python programming, part-of-speech (PoS) tags, sentiment analysis, and machine learning with scikit-learn. Your task is to split posts into sentences, tag […]
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CS909: 2016-2017 Exercise one: Regular expressions, Segmentation & Edit distance, FSA & FST, N-grams and language models. Submission: 12 pm Thursday March 2nd 2017 Notes: a) This exercise will contribute towards 15% of your overall mark. b) Submission should include one or more iPython notebooks and a report, where requested, as a .zip. Preparation: Getting
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Homework Number 4 Due February 28, 2017 (2 weeks) Download the zip file at this link. It a link to a file on NYUClasses — so you will need the appropriate login to download it. It will include the following files: A training file (WSJ_02-21.pos) consisting of about 950K words. Each line consists of a
自然语言处理NLP python代写：CSCI-UA.0480-011 Homework Number 4 Read More »
NLE Coursework 1 Important Information Submission format: You should submit just one file that should be a Jupyter notebook. Due date: Your notebook should be submitted on Study Direct before 4pm on Wednesday 30th November. The standard late penalties will apply. Return date: Marks and feedback will be provided on Sussex Direct on Friday December
自然语言处理NLP代写：NLE Coursework 1 Read More »
NLE Coursework 2 Important Information Submission format: You should submit just one file which should either be a Jupyter notebook, or a Jupyter notebook that has been zipped up with any files that it loads (e.g. images). Note that when marking your work, we will only look at the contents of the Jupyter notebook. Due date: Your
自然语言处理python NLP代写：NLE Coursework 2 Read More »
Natural Language Engineering: Assessed Coursework Submission format: You should submit one file that should either be a Jupyter notebook or a zip file containing a Jupyter notebook and the image files that you want to include in the notebook. Due date: You work should be submitted on the module’s Study Direct site before 4pm on
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University of Toronto, Department of Computer Science CSC 485/2501F—Computational Linguistics, Fall 2016 Assignment 3 Due date: 23:59, Wednesday 7 December 2016, at the course drop box in BA 2220. Late assignments will not be accepted without a valid medical certificate or other documen- tation of an emergency. This assignment is worth either 25% (CSC 2501)
prolog自然语言处理代写: CSC 485/2501F—Computational Linguistics Assignment 3 Read More »
Introduction to Natural Language Processing CSC 485E / SENG 480C / CSC 581A Assignment 2 Due June 15, 2017, 11:55 PM One late day permitted for 20% reduction in grade. No late assignments accepted more than 24 hours after the due date. Hand in a pdf for your written answers and .py files for your
Introduction to Natural Language Processing CSC 485E / SENG 480C / CSC 581A Assignment 2 Read More »
Introduction to Natural Language Processing CSC 485E / SENG 480C / CSC 581A Assignment 1 Due May 25, 2017, 11:55 PM One late day permitted for 20% reduction in grade. No late assignments accepted more than 24 hours after the due date. Undergrad and Grad: 100 points total All graphs and text answers should be
Introduction to Natural Language Processing CSC 485E / SENG 480C / CSC 581A Assignment 1 Read More »
CS909: 2016-2017 Exercise one: Regular expressions, Segmentation & Edit distance, FSA & FST, N-grams and language models. Submission: 12 pm Thursday March 2nd 2017 Notes: a) This exercise will contribute towards 15% of your overall mark. b) Submission should include one or more iPython notebooks and a report, where requested, as a .zip. Preparation: Getting
python nlp代写 ： CS909: 2016-2017 Exercise one Read More »