cs229_reacclimate

CS229 Class Project

To dos before Wednesday Week 6:

• PRAW
  • Create notebook
  • Shows attributes we have access to
  • Sizes of datasets
  • What limitations do we have on data access etc.
• NLTK
  • Create notebook
  • What can we do with the sentiment analysis API?
• Literature review
  • Read previous papers to have a sense of what has already been done
  • Create Overleaf document

References:

• A few preliminary resources:
  • Sentiment Analysis on Reddit News Headlines with Python’s Natural Language Toolkit (NLTK)
  • The New American Lexicon (book page 165; this is the document advising the Republican party on language change)
  • A few basic papers on sentiment analysis for climate change language:
    • Climate Change Sentiment on Twitter: An Unsolicited Public Opinion Poll (highest citation count paper on the subject that I could find)
    • Tracking Climate Change Opinions from Twitter Data
    • Climate Sentiment Analysis on News Data (R notebook) (perhaps not the most useful analysis, esp because in R, but perhaps interesting to look at their datasets)

later: 7a) clearly define the machine learning question: could be building a sentiment analyzer based off this data; take off-shelf sentiment analyzer, train classifier to predict overall sentiment would be in response to sentence within community.