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基于自然语言处理的文本敏感内容检测系统的设计与实现

news 2025/9/21 5:48:08

作者简介：Java领域优质创作者、CSDN博客专家 、CSDN内容合伙人、掘金特邀作者、阿里云博客专家、51CTO特邀作者、多年架构师设计经验、多年校企合作经验，被多个学校常年聘为校外企业导师，指导学生毕业设计并参与学生毕业答辩指导，有较为丰富的相关经验。期待与各位高校教师、企业讲师以及同行交流合作

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文末获取源码 

项目编号：2024-2025-BS-AI-013

一，环境介绍

语言环境：Python3.8

数据库：Mysql: mysql5.7

WEB框架：Django

开发工具：IDEA或PyCharm

二，项目简介

在信息时代，互联网内容的快速增长带来了大量敏感信息，如暴力、极端思想和其他有害内容。这些内容对社会和个人都可能产生负面影响，尤其在社交媒体、新闻平台等公共场所。自然语言处理（NLP）技术的发展，使得基于深度学习的敏感内容检测方法成为可能，具有更强的语义理解能力。通过自然语言处理，利用深度学习模型对敏感信息进行检测，对维护网络环境和社会稳定具有重要作用。

本课题基于BERT深度学习模型，尝试对敏感信息检测的现有问题进行研究和改进。通过迁移学习策略，利用大规模预训练语言模型BERT提取文本深层语义特征，结合注意力机制优化敏感信息关联性建模，设计多层级分类架构实现细粒度敏感内容识别。对于传统敏感内容检测方法的语义理解不足、泛化能力弱及维护成本高等缺陷，本文采用了自然语言处理技术构建智能化检测系统进行敏感信息检测。系统采用“数据清洗-BERT微调-动态阈值分类”的技术路线：首先构建包含政治敏感、暴力违规、广告欺诈等标签的中文敏感文本数据集，通过数据增强与对抗训练提升模型鲁棒性；其次基于BERT-base模型进行领域适配微调，在编码层引入Bi-LSTM捕捉上下文长距离依赖关系；最后设计动态阈值分类器，结合TF-IDF加权策略解决类别不平衡问题。

三，系统展示

四，核心代码展示


from dao.detectionlogDao import detectionlogDao
from flask import Blueprint, request, sessiondetectionlog = Blueprint('detectionlog', __name__)
dao = detectionlogDao()@detectionlog.route("/detectionlog/queryDetectionlogAll", methods=['GET', 'POST'])
def queryDetectionlogAll():pageSize = int(20)  # 每页显示的条数if request.method == 'POST':pageIndex = request.form.get('page')filedarr = request.form.getlist('filedarr[]')keyarr = request.form.getlist('keyarr[]')hstrarr = request.form.getlist('hstrarr[]')ifso = request.form.get('ifso')orderby = request.form.get('orderby')elif request.method == 'GET':print("get")pageIndex = request.args.get('page', type=str)filedarr = request.args.getlist('filedarr[]', type=str)keyarr = request.args.getlist('keyarr[]', type=str)hstrarr = request.args.getlist('hstrarr[]', type=str)ifso = request.args.get('ifso', type=str)orderby = request.args.get('orderby', type=str)sql = ""i = 0if int(ifso) > 0:while i < len(filedarr):h = hstrarr[i]f = filedarr[i]k = keyarr[i]if "like" in h:sql = sql + " and " + f + " like  '%" + k + "%' "else:sql = sql + " and " + f + h + ki += 1totalCount = detectionlogDao.count(dao, sql)  # 总条数totalPage = totalCount / pageSizeif totalCount % pageSize != 0:totalPage = totalCount / pageSize + 1# 总页数totalPage = int(totalPage)limitstr = ""pageIndex = int(pageIndex)  # 通过url匹配的参数都是字符串类型需要转换成int型# 如果当前页码小于等于1，从第一条记录开始查询if pageIndex <= 1:start = 0else:# 否则，计算开始查询的位置start = (pageIndex - 1) * pageSize# 计算查询的结束位置，实际上此处计算的是查询的数量end = pageSize# 构建 limit 子句limitstr = f" LIMIT {start},{end}"if orderby != '':print(sql + limitstr + " order by " + orderby + "  ")datalist = detectionlogDao.find(dao, sql + " order by " + orderby + "   " + limitstr)else:print(sql + limitstr + " order by  id desc ")datalist = detectionlogDao.find(dao, sql + " order by id desc  " + limitstr)data = {'action': 'queryDetectionlogAll','msg': '666666','enlist': list(datalist),"entity": {"sumpage": totalPage, "count": totalCount, "page": pageIndex},}return data@detectionlog.route("/detectionlog/queryDetectionlogById", methods=['GET', 'POST'])
def queryDetectionlogById():if request.method == 'POST':id = request.form.get('id', type=str)else:id = request.args.get('id', type=str)datalist = detectionlogDao.find(dao, " and id=" + id)print(datalist)if len(datalist) > 0:data = {'action': 'queryDetectionlogById','msg': '666666','enlist': list(datalist),"entity": {"sumpage": 1, "count": 1, "page": 1},}else:data = {'action': 'queryDetectionlogById','msg': '000000','enlist': "","entity": {"sumpage": 0, "count": 0, "page": 0},}# 返回结果return data@detectionlog.route("/detectionlog/deleteDetectionlogByIds", methods=['GET', 'POST'])
def deleteDetectionlogByIds():if request.method == 'POST':id = request.form.get('ids', type=str)else:id = request.args.get('ids', type=str)d = detectionlogDao.delete(dao, " and id in (" + id + ")")data = {'action': 'deleteDetectionlogByIds','msg': '000000','enlist': "","entity": {"sumpage": 0, "count": 0, "page": 0},}# 返回结果return data@detectionlog.route("/detectionlog/topDetectionlogNumList", methods=['GET', 'POST'])
def topDetectionlogNumList():  # 按toporderby = ""whstr = ""sql = ""num = 0if request.method == 'POST':num = request.form.get('num')whstr = request.form.get('whstr')orderby = request.form.get('orderby')else:num = request.args.get('num', type=str)whstr = request.args.get('whstr', type=str)orderby = request.args.get('orderby', type=str)if orderby == "" or orderby is None:orderby = " order by id desc "if whstr == "" or whstr is None:whstr = ""if num == "0" or num is None:sql = whstr + " " + orderbyelse:sql = whstr + " " + orderby + " limit " + str(num)print(sql)totalCount = detectionlogDao.count(dao, sql)  # 总条数datalist = detectionlogDao.find(dao, sql)if len(datalist) > 0:data = {'action': 'topDetectionlogNumList','msg': '666666','enlist': list(datalist),"entity": {"sumpage": 1, "count": totalCount , "page": 1},}else:data = {'action': 'topDetectionlogNumList','msg': '000000','enlist': "","entity": {"sumpage": 0, "count": 0, "page": 0},}return data@detectionlog.route("/detectionlog/addDetectionlogSubmit", methods=['GET', 'POST'])
def addDetectionlogSubmit():  # 添加msg = "000000"if request.method == 'POST':content = request.form.get('content')result = request.form.get('result')risklevel = request.form.get('risklevel')detectiontime = request.form.get('detectiontime')userid = request.form.get('userid')else:content = request.args.get('content', type=str)result = request.args.get('result', type=str)risklevel = request.args.get('risklevel', type=str)detectiontime = request.args.get('detectiontime', type=str)userid = request.args.get('userid', type=str)try:if 1 == 1 and content != '' and result != '' and risklevel != '' and detectiontime != '' and userid != '':dao.SetContent(content)dao.SetResult(result)dao.SetRisklevel(risklevel)dao.SetDetectiontime(detectiontime)dao.SetUserid(userid)detectionlogDao.add(dao)msg = "666666"else:msg = "100008"except:msg = "000000"data = {'action': 'addDetectionlogSubmit','msg': msg,}return data@detectionlog.route("/detectionlog/updateDetectionlogSubmit", methods=['GET', 'POST'])
def updateDetectionlogSubmit():  # 修改msg = "000000"if request.method == 'POST':id = request.form.get('id', type=str)content = request.form.get('content')result = request.form.get('result')risklevel = request.form.get('risklevel')detectiontime = request.form.get('detectiontime')userid = request.form.get('userid')else:id = request.args.get('id', type=str)content = request.args.get('content', type=str)result = request.args.get('result', type=str)risklevel = request.args.get('risklevel', type=str)detectiontime = request.args.get('detectiontime', type=str)userid = request.args.get('userid', type=str)try:if 1 == 1 and content != '' and result != '' and risklevel != '' and detectiontime != '' and userid != '':dao.SetContent(content)dao.SetResult(result)dao.SetRisklevel(risklevel)dao.SetDetectiontime(detectiontime)dao.SetUserid(userid)dao.SetId(id)detectionlogDao.edit(dao, " ")msg = "666666"else:msg = "100008"except:msg = "000000"data = {'action': 'updateDetectionlogSubmit','msg': msg,}return data

五，相关作品展示

基于Java开发、Python开发、PHP开发、C#开发等相关语言开发的实战项目

基于Nodejs、Vue等前端技术开发的前端实战项目

基于微信小程序和安卓APP应用开发的相关作品

基于51单片机等嵌入式物联网开发应用

基于各类算法实现的AI智能应用

基于大数据实现的各类数据管理和推荐系统

 

 

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