python基于循环神经网络的情感分类设计与实现

项目运行

需要先安装Python的相关依赖：requests，pymysql，Django3.2.8, jieba，torch1.8.1，transformers=4.27.1，tqdm使用pip install 安装

第一步：创建数据库

第二步：执行SQL语句，.sql文件，运行该文件中的SQL语句

第三步：修改源代码中的settings.py文件，改成自己的mysql数据库用户名和密码

第四步：运行命令：python manage.py runserver 8000

第五步：打开浏览器查看http://127.0.0.1:8000

毕设帮助，指导，本源码分享，调试部署(见文末)

系统介绍：

程序上交给用户进行使用时，需要提供程序的操作流程图，这样便于用户容易理解程序的具体工作步骤，现如今程序的操作流程都有一个大致的标准，即先通过登录页面提交登录数据，通过程序验证正确之后，用户才能在程序功能操作区页面操作对应的功能。

功能截图：

编程人员在搭建的开发环境中，会让各种编程技术一起呈现出最终效果。本节就展示关键部分的页面效果。

代码实现：

python 复制代码

import datetime
import os
from django.core.paginator import Paginator
from django.db.models import Count
from django.http import HttpResponseRedirect, HttpResponse, HttpResponseForbidden, JsonResponse
from django.shortcuts import render
from user.models import User
from utils import common
from .models import *

workdir = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))


def login(request):
    """
    跳转登录
    :param request:
    :return:
    """
    return render(request, 'login.html')


def register(request):
    """
    跳转注册
    :param request:
    :return:
    """
    return render(request, 'register.html')


def index(request):
    """
    跳转首页
    :param request:
    :return:
    """
    username = request.session.get('username', '')
    role = int(request.session.get('role', 3))
    user_id = request.session.get('user_id', 1)
    total_user = len(User.objects.all())
    total_info = Info.objects.count()
    date = datetime.datetime.today()
    tip = Tip.objects.all().order_by('-id')[0].text
    month = date.month
    year = date.year
    day = date.day
    current_day = "{}-{}-{}".format(year, month, day)
    # 获取近七天的操作
    seven_days = common.get_recent_seven_day()
    seven_data_dict = dict.fromkeys(seven_days, 0)
    for i in seven_days:
        d = datetime.timedelta
        r = Info.objects.filter(create_time__year=i.split('-')[0], create_time__month=i.split('-')[1],
                                create_time__day=i.split('-')[2]).all()
        if r:
            seven_data_dict[i] = r.count()
    seven_count_list = [seven_data_dict[x] for x in seven_days]
    return render(request, 'index.html', locals())


def login_out(request):
    """
    注销登录
    :param request:
    :return:
    """
    del request.session['username']
    return HttpResponseRedirect('/')


def personal(request):
    username = request.session['username']
    role_id = request.session['role']
    user = User.objects.filter(name=username).first()
    return render(request, 'personal.html', locals())


def get_data(request):
    """
    获取列表信息 | 模糊查询
    :param request:
    :return:
    """
    keyword = request.GET.get('name')
    page = request.GET.get("page", '')
    limit = request.GET.get("limit", '')
    response_data = {}
    response_data['code'] = 0
    response_data['msg'] = ''
    data = []
    if keyword is None:
        results_obj = Info.objects.all()
    else:
        results_obj = Info.objects.filter(name__contains=keyword).all()
    paginator = Paginator(results_obj, limit)
    results = paginator.page(page)
    if results:
        for result in results:
            record = {
                "id": result.id,
                "text": result.text,
                "result": result.result,
                "standard_answer": result.standard_answer,
                "status": result.status,
                'create_time': result.create_time.strftime('%Y-%m-%d %H:%m:%S'),
                "owner": result.owner,
            }
            data.append(record)
        response_data['count'] = len(results_obj)
        response_data['data'] = data

    return JsonResponse(response_data)


def get_tip(request):
    """
    获取列表信息 | 模糊查询
    :param request:
    :return:
    """
    keyword = request.GET.get('name')
    page = request.GET.get("page", '')
    limit = request.GET.get("limit", '')
    response_data = {}
    response_data['code'] = 0
    response_data['msg'] = ''
    data = []
    if keyword is None:
        results_obj = Tip.objects.all()
    else:
        results_obj = Tip.objects.filter(name__contains=keyword).all()
    paginator = Paginator(results_obj, limit)
    results = paginator.page(page)
    if results:
        for result in results:
            record = {
                "id": result.id,
                "text": result.text,
                'create_time': result.create_time.strftime('%Y-%m-%d %H:%m:%S'),
                "owner": result.owner,
            }
            data.append(record)
        response_data['count'] = len(results_obj)
        response_data['data'] = data

    return JsonResponse(response_data)


def text(request):
    """
    跳转页面
    """
    username = request.session.get('username', '')
    role = int(request.session.get('role', 3))
    user_id = request.session.get('user_id', 1)
    return render(request, 'text.html', locals())


def tip(request):
    """
    跳转页面
    """
    username = request.session.get('username', '')
    role = int(request.session.get('role', 3))
    user_id = request.session.get('user_id', 1)
    return render(request, 'tip.html', locals())


def wbfl(request):
    """
    跳转页面
    """
    username = request.session.get('username', '')
    role = int(request.session.get('role', 3))
    user_id = request.session.get('user_id', 1)
    zm = Info.objects.filter(result='积极').all()
    fm = Info.objects.filter(result='消极').all()
    return render(request, 'wbfx.html', locals())


def add_tip(request):
    response_data = {}
    text = request.POST.get('text')
    Tip.objects.create(
        text=text,
        owner=request.session.get('username', 'admin'))
    response_data['msg'] = 'success'
    return JsonResponse(response_data, status=201)


def edit_text(request):
    """
    修改信息
    """
    response_data = {}
    user_id = request.POST.get('id')
    text = request.POST.get('text')
    standard_answer = request.POST.get('standard_answer')
    print(user_id, standard_answer)
    Info.objects.filter(id=user_id).update(
        standard_answer=standard_answer)
    response_data['msg'] = 'success'
    return JsonResponse(response_data, status=201)


def del_tip(request):
    """
    删除信息
    """
    user_id = request.POST.get('id')
    result = Tip.objects.filter(id=user_id).first()
    try:
        if not result:
            response_data = {'error': '删除失败！', 'message': '找不到id为%s' % user_id}
            return JsonResponse(response_data, status=403)
        result.delete()
        response_data = {'message': '删除成功！'}
        return JsonResponse(response_data, status=201)
    except Exception as e:
        response_data = {'message': '删除失败！'}
        return JsonResponse(response_data, status=403)


def del_text(request):
    """
    删除信息
    """
    user_id = request.POST.get('id')
    result = Info.objects.filter(id=user_id).first()
    try:
        if not result:
            response_data = {'error': '删除失败！', 'message': '找不到id为%s' % user_id}
            return JsonResponse(response_data, status=403)
        result.delete()
        response_data = {'message': '删除成功！'}
        return JsonResponse(response_data, status=201)
    except Exception as e:
        response_data = {'message': '删除失败！'}
        return JsonResponse(response_data, status=403)


def save_file(file):
    """
    保存文件
    """
    if file is not None:
        file_dir = os.path.join(workdir, 'static', 'uploadImg')
        if not os.path.exists(file_dir):
            os.mkdir(file_dir)
        file_name = os.path.join(file_dir, file.name)
        with open(file_name, 'wb')as f:
            # chunks()每次读取数据默认 我64k
            for chunk in file.chunks():
                f.write(chunk)
            f.close()
        return file_name
    else:
        return None


def predict(request):
    text = request.POST.get('text')
    try:
        from .emotional_classification.test import main
        result = int(main(text))
        print(result)
        if result == 0:
            result = '消极'
        else:
            result = '积极'

        Info.objects.create(text=text,
                            status="成功",
                            result=result,
                            standard_answer='',
                            owner=request.session.get('username', 'admin'),
                            )
        return JsonResponse({"result": result})
    except Exception as e:
        print(e)
        return JsonResponse({"error": 403}, status=403)


def analysis(request):
    results = Info.objects.values('result').annotate(myCount=Count('result'))  # 返回查询集合
    country = []
    count = []
    for i in results:
        country.append(i['result'])
        count.append(i['myCount'])
    result1 = Info.objects.values('owner').annotate(myCount=Count('owner'))  # 返回查询集合
    values = []
    for i in result1:
        values.append({'name': i['owner'], 'value': i['myCount']})

    username = request.session.get('username', 'admin')
    role = int(request.session.get('role', 3))
    user_id = request.session.get('user_id', 1)
    return render(request, 'analysis.html', locals())

总结：

主要功能是自动识别留言的情感倾向，使用了Python语言、GRU框架和MySQL数据库进行开发。在实验中，证明了该软件的准确性和实用性，可以有效地帮助用户对留言进行分类。

源码获取：

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