Integrating machine learning and open data into social Chatbot for filtering information rumor

Abstract

Social networks have become a major platform for people to disseminate information, which can include negative rumors. In recent years, rumors on social networks has caused grave problems and considerable damages. We attempted to create a method to verify information from numerous social media messages. We propose a general architecture that integrates machine learning and open data with a Chatbot and is based cloud computing (MLODCCC), which can assist users in evaluating information authenticity on social platforms. The proposed MLODCCC architecture consists of six integrated modules: cloud computing, machine learning, data preparation, open data, chatbot, and intelligent social application modules. Food safety has garnered worldwide attention. Consequently, we used the proposed MLODCCC architecture to develop a Food Safety Information Platform (FSIP) that provides a friendly hyperlink and chatbot interface on Facebook to identify credible food safety information. The performance and accuracy of three binary classification algorithms, namely the decision tree, logistic regression, and support vector machine algorithms, operating in different cloud computing environments were compared. The binary classification accuracy was 0.769, which indicates that the proposed approach accurately classifies using the developed FSIP.

Integrated machine learning with semantic web for open government data recommendation based on cloud computing

“…This can improve the correlation accuracy between the data and the linked data to different social platforms. Chatbot is an intelligent program that can interact with users anytime and anywhere to promote online services for various domains 54 . Another future work is to integrate the chatbot in the developed LDQP to enhance the interaction with users.…”

Productivity of incident management with conversational bots-a review

“…Application Reference Conversational agent AI-based multitasking conversational agent [23], [25], [27], [38], [44], [45], [53], [ [34], [39], [48], [52] Chatbot that manages information Chatbot in information management. [53] Chatbots con AI Chatbots with AI and cloud computing.…”

Sentiment-based Chatbot using Machine Learning for Recommendation System

“…It is a trend to provide chatbots to interact with users in social network platforms [16][17][18][19][20]. This way of interacting with users through chatbots can improve the traditional way of menu-based interaction and increase favorability of the social network platforms.…”

“…In [16], authors integrates machine learning and open data with a chatbot to assist users in evaluating information authenticity on Meta (Facebook). A medical chatbot [21] is developed as a conversational agent that dialogues with users to discuss about the symptoms and responses the diagnosis.…”