Java Python COM6115
Assessment: Sentiment Analysis
Changelog
| Ver 1.1 |
26/11/2024 |
In dark red font: ● Added clarifications (same as the announcement made); ● Fixed typo in the marks for Step 2.1. |
| Ver 1.0 |
15/11/2024 |
Initial Release. |
Quick Summary
To better understand the strengths and limitations of Bayesian text classification, in this assignment, you are going to investigate Sentiment Analysis using two sentiment datasets you will be provided. You will also be provided with a Python script. that implements Naïve Bayes. You will need to write a report (nomorethan1500words) to describe your results and findings.
Note: This assessment accounts for 30% of your total mark for the course. Your report may be submitted for a plagiarism check

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