Practical combat of text topic sentiment classification using lda model and bert model

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Practical combat of text topic sentiment classification using lda model and bert model_bilibili_bilibili

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Model structure:

Main code:
import torch
from torch import nn
from torch import optim
import transformers as tfs
import math
import numpy as np
import pandas as pd
from sklearn.metrics import f1_score
import warnings
import re
import jieba
from transformers import BertTokenizer, BertModel
from transformers import BertConfig
from transformers import AutoTokenizer, AutoModel,AutoConfig
warnings.filterwarnings('ignore')
from tqdm import tqdm
from sklearn.model_selection import train_test_split
from

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Origin blog.csdn.net/pythonyanyan/article/details/133935643