Submission Guidelines:
• Ensure your name and student number are at the top of any files submitted.
• Submit all code files as .py files
• Create a .zip file of all your files, even if there's only one (this helps TAs keep organized): o On Windows, select the files you want to include, right click, choose "Send to..." then "Compressed (zipped) folder" o On a mac, select the files you want to include, right click, and choose "Compress X Items"
• Name your zip file Firstname_Lastname_StudID_A5.zip, where Firstname and Lastname are to be replaced by your names, and StudID is to be replaced by your student Id number.
• Submit your assignment using cuLearn.
• Late assignments will not be accepted.
• If your internet connection at home is down or does not work, we will not accept this as a reason for handing in an assignment late, so do not wait until the last minute to submit your assignment!
• You are responsible for submitting all files and ENSURING that the correct file is submitted, and the submission is completed successfully. If you are having issues with submission, contact the instructor before the due date.
In this assignment, you will explore more on text analysis and an elementary version of sentiment
analysis. Sentiment analysis is the process of using a computer program to identify and categorise
opinions in a piece of text in order to determine the writer’s attitude towards a particular topic
(e.g., news, product, service etc.). The sentiment can be expressed as positive, negative or neutral.
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