问题
I am trying to put all the #keywords
from the tweetText
into a separate column along with other columns. I have not mentioned other columns as they would only create confusion.
The tweetText
which does not have #keywords
shall be deleted and those which have shall be fished out and put them in different column.
I am kind of lost in the part where I need to filter the #Keywords
from the tweetText
.
Input: TweetsID, Tweets (has many more columns)
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"
Expected Output: tweetId, hashKey (will have other columns too)
714600471512670212,#Helsinki #pyöräily #cycling
714593900053180416,#hiring! #lifeinspiringcareers #Moscow #Sales
714591380660731904,#открытаякарта
714591338977579009,#edmonton #edm #edmlife #edms #edmlifestyle #edmfamily #edmgirls #edmlov"
Code:
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)
Appreciate the suggestions.
Edit One:
When parsed input in the chosen answer I get some Syntax Errors
Code:
import re
import pandas as pd
df = pd.readcsv('Turkey_Text.csv')
tweet_column = ['tweetText']
for idx in range(len(tweet_column)):
tweet = tweet_column[idx]
hashtag_list = re.findall(r('#\w+)', tweet)
tweet_column[idx] = " ".join(hashtag_list)
print tweet_column[idx]
Error:
File "keyword_split.py", line 9
tweet_column[idx] = " ".join(hashtag_list)
^
SyntaxError: invalid syntax
Expected Output
714600471512670212,#Helsinki
714600471512670212,#pyöräily
714600471512670212,#cycling
714593900053180416,#hiring!
714593900053180416,#lifeinspiringcareers
714593900053180416,#Moscow
714593900053180416,#Sales
714591380660731904,#открытаякарта
714591338977579009,#edmonton
714591338977579009,#edm
714591338977579009,#edmlife
714591338977579009,#edms
714591338977579009,#edmlifestyle
714591338977579009,#edmfamily
714591338977579009,#edmgirls
714591338977579009,#edmlov"
回答1:
Use python and regular expressions. It will make your life a lot easier.
The regular expression r'#(\w+)'
would work well in this instance.
I don't fully understand the flow of your code, since I don't have much experience with searching CSVs with panda, but if you were to isolate the tweet and return a string of the keywords/hashtags to that column by my understanding of conventional python logic, it might look something like this...
import re
for idx in range(len(tweet_column)):
tweet = tweet_column[idx]
hashtag_list = re.findall(r('#\w+)', tweet)
tweet_column[idx] = " ".join(hashtag_list)
Here's another example
来源:https://stackoverflow.com/questions/38044375/parse-input-and-structure-the-output-keywords-from-tweets