test mining for interest/demographic combos

README.md

@@ -12,6 +12,12 @@ conda install -r requirements.txt
 
 ## Running code
 
+Before running code, the environment should be activated:
+
+```
+conda activate assimilation_py27
+```
+
 All code should be run from the base directory, e.g.:
 
 ```
@@ -39,4 +45,10 @@ deactivate
 - Activated and tested access token (src/data_processing/example_mine.py).
 - Mined audience counts for Hispanic people across languages (Spanish/Bilingual/English), age groups (young, middle-aged, old) and states, including the full Hispanic count and only Ex-pats from Mexico (src/data_processing/mine_multiple_locations.py).
 - Compared the Ex-pat estimates with ground-truth census data (src/data_processing/compare_facebook_survey_estimates.ipynb).
-- Compared the relative audience sizes of different age/language groups and found that younger Hispanic Facebook users (13-28) tended to be more bilingual and use less Spanish than older Hispanic users (28+). (src/data_processing/compare_young_old_lang_use.ipynb).
+- Compared the relative audience sizes of different age/language groups and found that younger Hispanic Facebook users (13-28) tended to be more bilingual and use less Spanish than older Hispanic users (28+). (src/data_processing/compare_young_old_lang_use.ipynb).
+
+## TODO
+
+- Figure out MPI policy on funding for survey deployment.
+- Assess Turk Prime as a platform for survey deployment (alternative to Facebook, in case of funding problems): how much representation of Hispanic people?
+- Determine top-1000 most popular American interests; filter manually to pick out those most likely to be related to assimilation (e.g. music).