文本分类（4）-LSTM实现文本分类

利用LSTM对IMDB Reviwe文本进行分类，数据集可以在kaggle官网上获取，
kaggle比赛
或者https://pan.baidu.com/s/1EYoqAcW238saKy3uQCfC3w
提取码：ilze

# 导入相应的包
import pandas as pd
import warnings
import re
import matplotlib.pyplot as plt
from nltk.stem import WordNetLemmatizer
from nltk.corpus import stopwords
from keras.preprocessing.text import Tokenizer
from keras.preprocessing.sequence import pad_sequences
from keras.layers import Dense, LSTM, Embedding, Dropout, Conv1D, MaxPooling1D, Bidirectional
from keras.models import Sequential

warnings.filterwarnings('ignore')

#　读取数据
df1 = pd.read_csv('word2vec-nlp-tutorial/labeledTrainData.tsv', sep='\t', error_bad_lines=False)
df2 = pd.read_csv('word2vec-nlp-tutorial/imdb_master.csv', encoding="latin-1")
df3 = pd.read_csv('word2vec-nlp-tutorial/testData.tsv', sep=&