714602054988275712,I'm at MK Appartaments in Dobele
714600471512670212,"Baana bicycle counter.Today: 9 Same time last week: 7 Trend: ↑28% This year: 60 811 Last year: 802 079 #Helsinki #pyöräily #cycling"
714598616703320065,"Just posted a photo @ Moscow, Russia"
714593900053180416,We're #hiring! Read about our latest #job opening here: CRM Specialist #lifeinspiringcareers #Moscow #Sales
714591942949138434,Just posted a photo @ Kfc
714591380660731904,Homeless guide on my festival of tours from locals for locals #открытаякарта. Shot by Alexandr
714591338977579009,"Who we are? #edmonton #edm #edmlife #edms #edmlifestyle #edmfamily #edmgirls #edmlov"

714600471512670212,#Helsinki #pyöräily #cycling
714593900053180416,#hiring! #lifeinspiringcareers #Moscow #Sales
714591380660731904,#открытаякарта
714591338977579009,#edmonton #edm #edmlife #edms #edmlifestyle #edmfamily #edmgirls #edmlov"

import pandas as pd

df1 = pd.read_csv('Turkey_28.csv')

key_word = df1[['tweetID', 'tweetText']].set_index('tweetID')['tweetText']

key_word = key_word.dropna().apply(lambda x: eval(x))
key_word = key_word[key_word.apply(type) == dict]

 #I am lost in this section on how to select the hash keywords?
def get_key_words(x):
    return pd.Series(x['tweetText'],

key_word = key_word.apply(get_key_word)

df2 = pd.concat([coords, df1.set_index('tweetID').reindex(coords.index)], axis=1)

df2.to_csv('Turkey_key_word.csv', index=True)