application_vnd.jupyter.stderr_output_1.png
from nltk.corpus import stopwords

from nltk.stem import WordNetLemmatizer

import numpy as np
import pandas as pd
import seaborn as sns
from nltk.tokenize import word_tokenize
import re
from nltk.corpus import stopwords
stop_words = set(stopwords.words('english'))
from sklearn.preprocessing import LabelEncoder
from nltk.stem import WordNetLemmatizer
lemmatizer = WordNetLemmatizer()
from sklearn.model_selection import train_test_split
from keras.utils import np_utils
from keras.preprocessing.text import Tokenizer
from keras.preprocessing import sequence
from keras.layers import CuDNNLSTM, Activation, Dense, Dropout, Input, Embedding, concatenate, Bidirectional
from keras.optimizers import adam
from keras.models import Sequential, Model
from keras.callbacks import EarlyStopping