Check out my post on this project.
- 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 hashtag #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 the topics and sentiments change over time? And is there any pattern between the topics and sentiments? If so, what is that?
- More...