This page holds the selected side projects on AI/ML/DS.
Personally, I don't like putting these three words together because they have important differences. Perhaps I will reorganize them in the future.
Table of Contents
2020-12
This is a project about a real-time analysis to explore the underlying topics and the sentiment for live tweets. NLP techniques such as LDA and sentiment analysis are used, while big data and cloud tools are employed to build a real-time system. See more in this medium post and the code repo.
Twitter data analyses (ML and AI in the public world)
Collect twitter data during a period of time (could also be streaming data), with the filtering on the topics of our interest. In this case, use hashtags #MachineLearning and #AI;
Use LDA (topic model) to analyze tweets; extract the topics and their associated words;
Use sentiment analysis to analyze the sentiment of tweets regarding ML and AI;
Do some further analyses to mine more useful and interesting results. For example,
What are the topics and associated words for tweets discussing ML and AI;
What are the sentiments (Negative/Neutral/Positive) for tweets discussing ML and AI;
How do the topics and sentiments change over time? And is there any pattern between the topics and sentiments? If so, what is that?
More...Â