GitHub - gitabites/WhereisWaldo: predicting twitter user location using tweet text

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predicting twitter user location using tweet text

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Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
visualizations		visualizations
.DS_Store		.DS_Store
.RData		.RData
.Rapp.history		.Rapp.history
.Rhistory		.Rhistory
Appalachia.csv		Appalachia.csv
AppalachiaWordCounter.py		AppalachiaWordCounter.py
AppalachiaWordCounter.pyc		AppalachiaWordCounter.pyc
Delmarva.csv		Delmarva.csv
FinalProjectPaper.rtf		FinalProjectPaper.rtf
Mid_Atlantic.csv		Mid_Atlantic.csv
Midland.csv		Midland.csv
New_England.csv		New_England.csv
North.csv		North.csv
Northwest.csv		Northwest.csv
Pacific_west.csv		Pacific_west.csv
README		README
South.csv		South.csv
Southwest.csv		Southwest.csv
all2reg.r		all2reg.r
appalachia_top_words.csv		appalachia_top_words.csv
appalachia_wordcount.csv		appalachia_wordcount.csv
appalachia_wordcount_test.csv		appalachia_wordcount_test.csv
appalachia_words.csv		appalachia_words.csv
clean_csv.py		clean_csv.py
clean_test_tweets.py		clean_test_tweets.py
clean_test_tweets.r		clean_test_tweets.r
clean_train.csv		clean_train.csv
compare_words_wordcloud.r		compare_words_wordcloud.r
decode.py		decode.py
delmarva_top_words.csv		delmarva_top_words.csv
delmarva_words.csv		delmarva_words.csv
full_text.txt		full_text.txt
get_region_words.py		get_region_words.py
get_top_words.py		get_top_words.py
longlatregions_final.r		longlatregions_final.r
ma_words.csv		ma_words.csv
mid_atlantic_top_words.csv		mid_atlantic_top_words.csv
mid_atlantic_words.csv		mid_atlantic_words.csv
midland_top_words.csv		midland_top_words.csv
midland_words.csv		midland_words.csv
ne_prediction_accuracy.png		ne_prediction_accuracy.png
ne_ratiocount.csv		ne_ratiocount.csv
ne_top_words.txt		ne_top_words.txt
ne_wordcount.csv		ne_wordcount.csv
ne_wordcount_test.csv		ne_wordcount_test.csv
ne_words.csv		ne_words.csv
newordcounter.py		newordcounter.py
north_top_words.csv		north_top_words.csv
north_words.csv		north_words.csv
northwest_top_words.csv		northwest_top_words.csv
northwest_words.csv		northwest_words.csv
pacific_top_words.csv		pacific_top_words.csv
pacific_words.csv		pacific_words.csv
reg_predict.r		reg_predict.r
reg_predict_glm.r		reg_predict_glm.r
reg_predict_nb.r		reg_predict_nb.r
reg_words_check.py		reg_words_check.py
reg_words_check.pyc		reg_words_check.pyc
region_words_data.py		region_words_data.py
sample_data.py		sample_data.py
short_clean_train		short_clean_train
short_clean_train.csv		short_clean_train.csv
short_test.csv		short_test.csv
short_train.csv		short_train.csv
south_top_words.csv		south_top_words.csv
south_words.csv		south_words.csv
southwest_top_words.txt		southwest_top_words.txt
southwest_words.csv		southwest_words.csv
test_clean.csv		test_clean.csv
tweet_freq.pdf		tweet_freq.pdf
tweet_frequencies_by_region.r		tweet_frequencies_by_region.r
tweet_reg_test.csv		tweet_reg_test.csv
tweet_reg_train.csv		tweet_reg_train.csv
twitter_predictions_new_england.csv		twitter_predictions_new_england.csv