University : Macquarie University UniLearnO is not sponsored or endorsed by this college or university.
Subject Code : COMP8210
Country : Australia
Assignment Task

 

Part I. Enrichment

 You will use a technology to provide a customizable feature enrichment to provide higher separation and discrimination among patterns in different classes in machine learning problems. The enrichment should include:

Lexical-based Semantics (10%). You will leverage knowledge sources such as WordNet3 , to enrich Lexical-based features with their Synonyms, Stems, Hypernyms, Hyponyms, and more.

NL-based Semantics (10%). You will leverage knowledge sources such as WikiData4 , GoogleKG5 , and DBPedia6 to enrich Natural-Language-based features with similar and related entities. For example, ‘Malcolm Turnbull’7 is similar to ‘Tony Abbott’8 (they both acted as the prime minister of Australia) but ‘Malcolm Turnbull’ is related to ‘University of Sydney’9 (the University where he attended and graduated). Notice: Your solution can be implemented using the technologies that you have learned during the lecture from Microsoft, or other technologies offer by IBM, AWS, etc. You also have the option to use Python to develop your solution. You can reuse any existing libraries

 

Part II. Analytics and Visualization 

You will use a technology to provide a customizable visualization to facilitate understanding trends, outliers, and patterns in data. The visualisation should include:

A) Classification: Sentiment Analysis and Visualization (25%). Sentiment analysis is the automated process of identifying emotions in text. quickly make sense of opinions ? like those in social media posts, surveys, product reviews, and support conversations ? and understand how customers feel about your business. Your Task: Leverage an existing sentiment analysis algorithm, classify Tweets into 3 classes (Positive, Negative, and Neutral), and visualize your sentiment analysis. You will get 15% for discussing the quality of the classification results, and 10% for the visualization.

 

 

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  • Posted on : August 24th, 2019
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