Buiding an automated response system for social network

MINISTRY OF EDUCATION AND TRAINING HO CHI MINH CITY UNIVERSITY OF TECHNOLOGY AND EDUCATION FACULTY FOR HIGH QUALITY TRAINING GRADUATION THESIS INFORMATION TECHNOLOGY BUILDING AN AUTOMATED RESPONSE SYSTEM FOR SOCIAL NETWORK ADVISOR : M.Sc NGUYEN DUC KHOAN STUDENTS: QUAN MINH DUC NGUYEN HOANG VU DANG NHAT TIEN SKL010940 Ho Chi Minh City, June 2023 HO CHI MINH CITY UNIVERSITY OF TECHNOLOGY AND EDUCATION FACULTY FOR HIGH QUALITY TRAINING GRADUATION THESIS BUILDING AN AUTOMATED RESPONSE SYSTEM FOR SOCIAL NETWORK Student 1: QUAN MINH DUC Student ID: 19110015 Student 2: NGUYEN HOANG VU Student ID: 19110319 Student 3: DANG NHAT TIEN Student ID: 19110297 Course: 2019 Major: INFORMATION TECHNOLOGY Advisor: NGUYEN DUC KHOAN M.Sc.IT Ho Chi Minh City, June 2023 THE SOCIALIST REPUBLIC OF VIETNAM Independence – Freedom– Happiness -Ho Chi Minh City, June …, 2023 PROJECT ASSIGNMENT Student name: Quan Minh Duc Student name: Nguyen Hoang Vu Student name: Dang Nhat Tien Advisor: Nguyen Duc Khoan M.Sc.IT Date of assignment: 01-09-2023 Date of submission: 05-29-2023 Student ID: 19110015 Student ID: 19110319 Student ID: 19110297 Project title: Building an automated response system for social network Initial materials provided by the advisor: Implementation using NestJS, ReactJS, FastAPI Framework, PostgreSQL Content of the project: The system utilizes modern technologies such as NextJS, ReactJS, and the Dialogflow library to create an intuitive and user-friendly interface that allows users to create their own bots without requiring any technical knowledge Final product: The system allows agents to manage comments and messages on social networks It features a modern web interface that enables easy customization of bots to meet the specific requirements of users CHAIR OF THE PROGRAM (Sign with full name) ADVISOR (Sign with full name) i THE SOCIALIST REPUBLIC OF VIETNAM Independence – Freedom– Happiness -Ho Chi Minh City, June …, 2023 ADVISOR’S EVALUATION SHEET Student name: Quan Minh Duc Student ID: 19110015 Student name: Nguyen Hoang Vu Student ID: 19110319 Student name: Dang Nhat Tien Student ID: 19110297 Major: Information Technology Class: 19110CLST Project title: Building an automated response system for social network Advisor: Nguyen Duc Khoan M.SC.IT EVALUATION Content and workload of the project: Strengths: Weaknesses: Approval for oral defense? (Approved or denied) Overall evaluation: (Excellent, Good, Fair, Poor) Mark:……….(in words ) Ho Chi Minh City, June …, 2023 ADVISOR (Sign with full name) ii THE SOCIALIST REPUBLIC OF VIETNAM Independence – Freedom– Happiness -Ho Chi Minh City, June …, 2023 PRE-DEFENSE EVALUATION SHEET Student name: Quan Minh Duc Student ID: 19110015 Student name: Nguyen Hoang Vu Student ID: 19110319 Student name: Dang Nhat Tien Student ID: 19110297 Major: Information Technology Class: 19110CLST Project title: Building an automated response system for social network Advisor: Nguyen Duc Khoan M.Sc.IT Name of Reviewer: EVALUATION Content and workload of the project: Strengths: Weaknesses: Approval for oral defense? (Approved or denied) Overall evaluation: (Excellent, Good, Fair, Poor) Mark:……….(in words ) Ho Chi Minh City, June …, 2023 REVIEWER (Sign with full name) iii THE SOCIALIST REPUBLIC OF VIETNAM Independence – Freedom– Happiness -Ho Chi Minh City, June …, 2023 EVALUATION SHEET OF DEFENSE COMMITTEE MEMBER Student name: Quan Minh Duc Student name: Nguyen Hoang Vu Student name: Dang Nhat Tien Student ID: 19110015 Student ID: 19110319 Student ID: 19110297 Major: Information Technology Project title: Building an automated response system for social network Name of Defense Committee Member: EVALUATION Content and workload of the project: Strengths: Weaknesses: Overall evaluation: (Excellent, Good, Fair, Poor) Mark:………….(in words: ) Ho Chi Minh City, June …, 2023 COMMITTEE MEMBER (Sign with full name) iv DISCLAIMER We affirm that all the work presented in this dissertation is our own and has been conducted independently Any sources or assistance used in this research have been duly acknowledged Direct quotations or paraphrased material are clearly identified with in-text citations The reference list includes complete bibliographic details, including internet sources with the URL and access date This dissertation has not been submitted to any other academic institution for assessment v ACKNOWLEDGEMENTS First and foremost, the implementation team would like to extend their sincere gratitude to the Falcuty for High Quality Training of Ho Chi Minh City University of Technical Education for providing the group with the most favorable conditions to perform The association has free access to refer to and expand their knowledge in the field of Information Technology in general and the Graduation Thesis in particular The team would also like to express their heartfelt appreciation to Mr NGUYEN DUC KHOAN, who devoted his enthusiasm and expertise as a teacher to guide, instruct, and create favorable conditions for the group, helping them develop their best and improve their knowledge throughout the learning process, especially in the preparation and implementation of the Graduation Thesis His enthusiasm was a tremendous motivation for the group to persevere through the process of implementing the topic and discovering new interesting and useful knowledge related to the subject Once again, the team would like to express their sincerest gratitude to the department and Mr NGUYEN DUC KHOAN for their invaluable support Student team vi FOREWORDS This thesis explores the development of an automated response system for social networks, considering the challenges and advancements in this field With the increasing popularity and usage of social media platforms, there is a growing need for efficient systems that can handle the overwhelming volume of user-generated content This thesis aims to address this need by investigating the design, implementation, and evaluation of an automated response system tailored specifically for social networks Throughout the thesis, various aspects of the system are examined, including sentiment analysis, intent recognition, and context understanding These techniques are crucial for accurately interpreting user queries and generating appropriate responses Additionally, ethical considerations surrounding automated systems, such as privacy and bias, are discussed The practical implementation of the system focuses on utilizing state-of-the-art technologies and frameworks to create a robust and scalable solution The thesis also includes extensive experiments and real-world case studies to evaluate the system's performance, impact on user satisfaction, and overall effectiveness By delving into the intricacies of building an automated response system for social networks, this thesis aims to contribute to the existing body of knowledge in this field It provides valuable insights and recommendations for researchers, developers, and organizations seeking to enhance their social media presence and engagement The transformative potential of automated response systems in revolutionizing digital communication and interaction is recognized, and the thesis encourages further exploration and innovation in this exciting area of research vii TABLE OF CONTENTS PROJECT ASSIGNMENT i ADVISOR’S EVALUATION SHEET ii PRE-DEFENSE EVALUATION SHEET iii EVALUATION SHEET OF DEFENSE COMMITTEE MEMBER iv DISCLAIMER v ACKNOWLEDGEMENTS vi FOREWORDS vii TABLE OF CONTENTS viii ABSTRACT xi LIST OF FIGURES xii LIST OF TABLES xv Chapter INTRODUCTION 1.1 Introduction 1.2 Current Situation 1.3 Problem Definition 1.4 Proposed Solution 1.5 Goals 1.6 Technology .3 1.7 Scope Chapter APPLICATION & TECHNOLOGIES REVIEW 2.1 Application review 2.1.1 Fchat (https://fchat.vn/) .5 2.1.2 ManyChat (https://manychat.com/) 2.1.3 What is the problem? viii