neelindresh

import tweepy
from tweepy import Cursor,API
from tweepy.streaming import StreamListener
from tweepy import OAuthHandler,Stream
import Credential

auth=OAuthHandler(Credential.CUSTOMER_KEY,Credential.CUSTOMER_SECRECT_KEY)

auth.set_access_token(Credential.ACCESS_TOKEN,Credential.ACCESS_SECRECT_TOKEN)
api=API(auth,wait_on_rate_limit=True)

neelindresh

import pandas as pd

data=pd.read_csv('location.csv')
print(data.columns)
data=data[['country_name','city_name','country_iso_code']]
print(data)
data.to_csv('city_country_data.csv')

neelindresh

import json

def string_to_json(line):
    import ast
    jsonval=ast.literal_eval(line)
    return jsonval

location=[]
for line in open('tweetCur.json', 'r',encoding="utf-8"):
    line=string_to_json(line)

neelindresh

import pandas as pd
import numpy as np
import tqdm
data=pd.read_csv('city_country_data.csv')
df=pd.DataFrame(columns=['Country','code'])
with open('location.txt','r')as r:
    location=r.readlines()

for i in tqdm.tqdm(data['country_name'].unique()):
    for j in location:

neelindresh

import plotly.offline as py
import pandas as pd

df = pd.read_csv('tweet_location.csv')
count_dict=dict(df['Country'].value_counts())
df['count']=df['Country'].map(count_dict)
df=df.drop(['Unnamed: 0'],axis=1)
df=df.drop_duplicates()
print(df)

neelindresh

CONTRACTION_MAP = {
"ain't": "is not",
"aren't": "are not",
"can't": "cannot",
"can't've": "cannot have",
"'cause": "because",
"could've": "could have",
"couldn't": "could not",
"couldn't've": "could not have",
"didn't": "did not",

neelindresh

from bs4 import BeautifulSoup
import urllib3
import json
http=urllib3.PoolManager()
Abbr_dict={}
#Function to get the Slangs from https://www.noslang.com/dictionary/
def getAbbr(alpha):
    global Abbr_dict
    r=http.request('GET','https://www.noslang.com/dictionary/'+alpha)
    soup=BeautifulSoup(r.data,'html.parser')

neelindresh

import json


with open('ShortendText.json','r') as file:
    Abbr_dict=json.loads(file.read())

    
splitLine=line.split()

neelindresh

from textblob import TextBlob
#line == text 
blob=TextBlob(line)
blob.correct()

neelindresh

from gingerit.gingerit import GingerIt
parser = GingerIt()
#line==string you wanna correct
tweet=parser.parse(line)