Chatbot

About: Chatbot is a research topic. Over the lifetime, 2415 publications have been published within this topic receiving 24372 citations. The topic is also known as: IM bot & AI chatbot.

MAGA: A Mobile Archaeological Guide at Agrigento

Abstract: The use of a PDA with ad-hoc built-in information retrieval and auto-localization functionalities can help people in visiting a museum in a natural manner instead of traditional audio/visual pre-recorded guides. The goal of this paper is to build an user-friendly virtual-guide system adaptable to the user needs of mobility and therefore usable on different mobile devices (e.g. PDAs, Smartphones). An information retrieval service is included which is easily accessible through a spoken language interaction or an auto-localization service. The system takes the advantages of Chatbot, speech recognition technologies and RFID detection, allowing a natural interaction with the user.

Disha: An Implementation of Machine Learning Based Bangla Healthcare Chatbot

Abstract: While humans as a whole do live longer nowadays than ever before, we now suffer certain illnesses to a degree never seen in the past - including rising rates of Diabetes, Hypertension, Hypotension, Cholesterol imbalance, obesity and, ailments such as fever. People around the world are preemptively seeking medical advices on how to live a healthy lifestyle. They are looking to lower their risk of various diseases. A healthcare chatbot can play a significant role to monitor a person’s health status. A healthcare chatbot is a computer program designed to simulate conversation with human users as a virtual medical assistant. Our study shows, there are some healthcare chatbots available in English and other languages but not in Bangla. In this paper, we have demonstrated a machine learning-based closed domain Bangla healthcare chatbot ‘Disha (Direction)’ which can converse in Bangla with the user with the help of its knowledge base and through learning from interactions with the user. It helps a user to diagnose potential diseases based on inputted symptoms, keep track of a user’s health status, and alert a user from potential health hazards. This paper explores the use of six supervised machine learning approaches and showed significant efficiency.

Doly: Bengali Chatbot for Bengali Education

Abstract: This Scientific Research paper is a procedure of an automated system "Doly: Bengali Chatbot" which gives a reply to a user query on behalf of a human for the education system in the Bengali language. This is an AI-based Chatbot, mainly based on machine learning algorithms and Bengali Natural Language Processing (BNLP). The machine gets embedded with this knowledge to identify the desired sentences and making a decision within itself, as a response to answer questions. There are many English Chatbot’s which used in education, web query, banking sector & various sectors. In this research, we have propounded a complete data-driven retrieval based closed domain Chatbot which is easily colloquy in the Bengali language with the users. We’ve created the train function adapter to train the Doly by encoding (encoding="utf8") our corpus from bot data. An input adapter has been created to take input and for output, an output adapter has been created to generate automated responses to a user’s input. We have also used a machine learning algorithm like search algorithm for finding an appropriate list of matching results from the corpus and use Naive Bayesian algorithm to generate the right answer from data. The main aim of this Chatbot based system is to bridge the gap between the knowledge sources by providing instant replies to the questions and queries that have to ask in the Bengali language.

A Chatbot for Changing Lifestyle in Education

Abstract: In this pandemic situation, all are learning education online. There is a lot of drawbacks to these methods, the main drawback of this system is the interaction between students and teachers become low. A chatbot is one of the most convenient ways of studying for students and it also rectifies student doubts at any time without human support. This paper aims to approach a typical way to design a chatbot for MATLAB practical dataset. Students can ask a question in the chatbot in the form of text then, the question is processed with natural language processing and deep learning technology. Finally, the chatbot can answer the students with exact answers. So this kind of chatbot is useful for both the students and teachers.

GremoBot: Exploring Emotion Regulation in Group Chat

Abstract: Maintaining a positive group emotion is important for team collaboration. It is, however, a challenging task for self-managing teams especially when they conduct intra-group collaboration via text-based communication tools. Recent advances in AI technologies open the opportunity of using chatbots for emotion regulation in group chat. However, little is known about how to design such a chatbot and how group members react to its presence. As an initial exploration, we design GremoBot based on text analysis technology and emotion regulation literature. We then conduct a study with nine three-person teams performing different types of collective tasks. In general, participants find GremoBot useful for reinforcing positive feelings and steering them away from negative words. We further discuss the lessons learned and considerations derived for designing a chatbot for group emotion management.