named entity recognition.py

import numpy as np
import tensorflow
from tensorflow.keras import Sequential, Model, Input
from tensorflow.keras.layers import LSTM, Embedding, Dense, TimeDistributed, Dropout, Bidirectional
from tensorflow.keras.utils import plot_model

from numpy.random import seed
seed(1)
tensorflow.random.set_seed(2)

input_dim = len(list(set(data['Word'].to_list())))+1
output_dim = 64
input_length = max([len(s) for s in data_group['Word_idx'].tolist()])
n_tags = len(tag2idx)