model training

# importing data manipulation libraries
import pandas as pd
import numpy as np
import re
import string
from string import punctuation

# importing text preprocessing libraries
import nltk
nltk.download('wordnet')
from nltk.corpus import stopwords
from nltk.tokenize import word_tokenize
from nltk.stem import WordNetLemmatizer

from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.model_selection import train_test_split

# Machine learning libraries 
from sklearn.metrics import accuracy_score
from sklearn.naive_bayes import MultinomialNB
from sklearn.linear_model import LogisticRegression
from sklearn.svm import SVC
from sklearn.ensemble import RandomForestClassifier

import warnings
warnings.filterwarnings("ignore")
[nltk_data] Downloading package wordnet to /root/nltk_data...
[nltk_data]   Package wordnet is already up-to-date!
In [25]:
# creating English Stopwords set
import nltk
nltk.download('stopwords')
stop_words = set(stopwords.words('english'))
[nltk_data] Downloading package stopwords to /root/nltk_data...
[nltk_data]   Package stopwords is already up-to-date!
Since the dataset did not have column names, we explicitly define it

In [26]:
col = ['target','ids','date','flag','user','text']
In [45]:
df = pd.read_csv('/content/drive/MyDrive/training.1600000.processed.noemoticon.csv', encoding='ISO-8859-1', names = col)
In [28]:
df.head(10)
Out[28]:
target	ids	date	flag	user	text
0	0	1467810369	Mon Apr 06 22:19:45 PDT 2009	NO_QUERY	_TheSpecialOne_	@switchfoot http://twitpic.com/2y1zl - Awww, t...
1	0	1467810672	Mon Apr 06 22:19:49 PDT 2009	NO_QUERY	scotthamilton	is upset that he can't update his Facebook by ...
2	0	1467810917	Mon Apr 06 22:19:53 PDT 2009	NO_QUERY	mattycus	@Kenichan I dived many times for the ball. Man...
3	0	1467811184	Mon Apr 06 22:19:57 PDT 2009	NO_QUERY	ElleCTF	my whole body feels itchy and like its on fire
4	0	1467811193	Mon Apr 06 22:19:57 PDT 2009	NO_QUERY	Karoli	@nationwideclass no, it's not behaving at all....
5	0	1467811372	Mon Apr 06 22:20:00 PDT 2009	NO_QUERY	joy_wolf	@Kwesidei not the whole crew
6	0	1467811592	Mon Apr 06 22:20:03 PDT 2009	NO_QUERY	mybirch	Need a hug
7	0	1467811594	Mon Apr 06 22:20:03 PDT 2009	NO_QUERY	coZZ	@LOLTrish hey long time no see! Yes.. Rains a...
8	0	1467811795	Mon Apr 06 22:20:05 PDT 2009	NO_QUERY	2Hood4Hollywood	@Tatiana_K nope they didn't have it
9	0	1467812025	Mon Apr 06 22:20:09 PDT 2009	NO_QUERY	mimismo	@twittera que me muera ?
Columns like ids, date, flag and user aren't gonna help the model to make classification so we're gonna drop them

In [29]:
df = df.drop(['ids','date','flag','user'],axis = 1)
In [16]:
df.head(5)
Out[16]:
target	text
0	0	@switchfoot http://twitpic.com/2y1zl - Awww, t...
1	0	is upset that he can't update his Facebook by ...
2	0	@Kenichan I dived many times for the ball. Man...
3	0	my whole body feels itchy and like its on fire
4	0	@nationwideclass no, it's not behaving at all....
In [17]:
df.describe()
Out[17]:
target
count	1.600000e+06
mean	2.000000e+00
std	2.000001e+00
min	0.000000e+00
25%	0.000000e+00
50%	2.000000e+00
75%	4.000000e+00
max	4.000000e+00