Now, we have summarized the work on oil prices study using topic modeling. Some new things added:
- Calculated the correlation between the topic trend and price with a temporal moving window. Users are now easier to identify the factors related to price volatility.
- Topic modeling of a randomly sampled corpus with 338,828 New York Times articles. Topics are compared to oil prices.
- Identified some interesting correlations, such as a positive correlation between entertainment-related topics and oil prices, and a negative correlation between the crime-related topics and oil prices. (Is that because media tend to focus on more important topics than crime?)
- Discovered the correlation between the unemployment and oil prices by examining articles mentioning “unemployment”, which was suggested by LDA results.
For the full poster and report, refer to: the following links.