lakshay-arora

# transform the train and test data
train_idf = tfidf_vectorizer.transform(train.tweet)
test_idf  = tfidf_vectorizer.transform(test.tweet)

lakshay-arora

# create a TF-IDF vectorizer object
tfidf_vectorizer = TfidfVectorizer(lowercase= True, max_features=1000, stop_words=ENGLISH_STOP_WORDS)

# fit the object with the training data tweets
tfidf_vectorizer.fit(train.tweet)

lakshay-arora

# train test split
train, test = train_test_split(data, test_size = 0.2, stratify = data['label'], random_state=21)

# get the shape of train and test split.
train.shape, test.shape
## >> ((25569, 3), (6393, 3))

lakshay-arora

# read the dataset
data = pd.read_csv('dataset/twitter_sentiments.csv')
# view the top rows
data.head()

lakshay-arora

# importing required libraries
import pandas as pd
from sklearn.feature_extraction.text import ENGLISH_STOP_WORDS, TfidfVectorizer
from sklearn.linear_model import LogisticRegression
from sklearn.pipeline import Pipeline
from sklearn.metrics import f1_score
from sklearn.model_selection import train_test_split

lakshay-arora

# define a function to divide two numbers
def division(a, b):
    # use the try statement where error may occur
    try:
        print(a/b)
    # if the error occurs, handle it !!
    except ZeroDivisionError:
        print("Cannot divide by Zero!!")
    else:
        print("No Error occured!!")

lakshay-arora

# define a function to divide two numbers
def division(a, b):
    # use the try statement where error may occur
    try:
        print(a/b)
    # if the error occurs, handle it !!
    except ZeroDivisionError:
        print("Cannot divide by Zero!!")
		# if no error occurs		
    else:

lakshay-arora

# define a function to divide two numbers
def division(a, b):
    # use the try statement where error may occur
    try:
        return a/b
    # if the error occurs, handle it !!
    except ZeroDivisionError:
        print("Cannot divide by Zero!!")

division(10,5)

lakshay-arora

# function to divide two numbers
def division(a, b):
    return a/b

# function works fine when you try to divide the number by a non-zero number
division(10, 2)
# >> 5.0

division(10,-3)
# >> -3.333333334 

lakshay-arora

from pandas.io.parsers import ParserError

# create a list to store the dataframes 
dataframe_list = []

file = open('log_file.txt', 'a+')
    

# iterate through the folders 1 to 34
for folder in range(1, 35):