how to extract character ngram from sentences? - python

 # Compressed regex
 #( ? = (...))

 # Expanded regex
    ( ? = # Start Lookahead assertion(# Capture group 1 start
       .# dot - metachar, matches any character except newline
       .# dot - metachar
       .# dot - metachar
    ) # Capture group 1 end) # End Lookahead assertion

df.info()

df.isna().sum()

df['Sentiment'].value_counts()

df['Sentiment'].value_counts()

y = df['Sentiment'].values
y.shape

from sklearn.model_selection
import train_test_split

(x_train, x_test, y_train, y_test) = train_test_split(x, y, test_size = 0.4)
x_train.shape
y_train.shape
x_test.shape
y_test.shape

df2 = pd.DataFrame(y_train)
df2 = df2.rename(columns = {
   0: 'sentiment'
})
df_train = pd.concat([df1, df2], axis = 1)

df_train.head()

from sklearn.model_selection
import train_test_split

(x_train, x_test, y_train, y_test) = train_test_split(x, y, test_size = 0.4)
x_train.shape
y_train.shape
x_test.shape
y_test.shape

he said
he said kotc
he said kotc made
he said kotc made profits
he said kotc made profits of
   he said kotc made profits of 265
he said kotc made profits of 265,
   he said kotc made profits of 265, 457
he said kotc made profits of 265, 457 vs
he said kotc made profits of 265, 457 vs loss
he said kotc made profits of 265, 457 vs loss eight
he said kotc made profits of 265, 457 vs loss eight cts
he said kotc made profits of 265, 457 vs loss eight cts net
he said kotc made profits of 265, 457 vs loss eight cts net loss
he said kotc made profits of 265, 457 vs loss eight cts net loss 343
he said kotc made profits of 265, 457 vs loss eight cts net loss 343,
   he said kotc made profits of 265, 457 vs loss eight cts net loss 343, 266
he said kotc made profits of 265, 457 vs loss eight cts net loss 343, 266,
   he said kotc made profits of 265, 457 vs loss eight cts net loss 343, 266, 000
he said kotc made profits of 265, 457 vs loss eight cts net loss 343, 266, 000 shares

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