Implementation of robot journalism by programming custombot using tokenization and custom tagging

Homelab is a discussion platform on course materials and assignments for students and is packed in an Android application product and website. The Homelab website is built using Laravel. For Android-based Homelab application development, a special Application Programming Interface (API) with JWT security is made in this research. In Homelab, besides the question and answer feature, a virtual conversation agent (chatbot) based on deep learning with a retrieval model that uses multilayer perceptron and a special text dataset for conversations about Homelab products is also created. The virtual conversation agent at Homelab is made by utilizing the Sastrawi library and natural language processing to facilitate the processing of user messages in Indonesian. The output of this research is the response from the chatbot and the probability value from the classification results of the available response classes. The system made has an accuracy rate of 96.43 percent with an average processing time of 0.3 seconds to get a response.

show abstract

“…Word separation can be realized using the Natural Language ToolKit (NLTK). This was proposed in a study by Naeun Lee et al [14].…”

Section: Background and Related Workmentioning

confidence: 86%

Robot Chat System (Chatbot) to Help Users “Homelab” based in Deep Learning

Aqil¹,

Dirgantara²,

Istikmal³

et al. 2021

IJACSA

View full text Add to dashboard Cite

show abstract

“…It is developed using Python to be integrated with the instant messaging application Slack. AMEY TIWARI [8] has concentrated primarily on keeping the bot incredibly simple. The Bot conversations should be bounded to very particular subjects and follow linear conversation routes avoiding complicated branching paths.…”

Section: IImentioning

confidence: 99%

AI-Based Chatbot for College Management System

Janthakal,

Reddy,

et al. 2023

IJRASET

View full text Add to dashboard Cite

The days of solely engaging with a service through a keyboard are over. Users interact with systems more and more through chats and chatbots. A chatbot is a computer program that can converse with humans using Artificial Intelligence in messaging platforms. Every time the chatbot gets input from the user, it saves input and response which helps the chatbot with little initial knowledge to evolve using gathered responses. With increased responses, the precision of the chatbot also gets increases. The ultimate goal of this project is to add a chatbot feature and API for College. This project will investigate how advancements in Artificial Intelligence and Machine Learning technology are being used to improve many services.

show abstract

“…Given large volume of logs and alerts, the stories have to be generated automatically. Automated journalism is a recent accomplishment in story generation field [7]- [10]. The story-like technical and financial reports are produced based on the personal preference, which positively impacts their comprehension.…”

Section: Explainable Artificial Intelligence (Ai) and Storytellingmentioning

confidence: 99%

“…IP, Domain, URLs, Location) about the external server in the alert message including IP 104.239.223.14, and stored in the Global knowledge base is: External Server = {(104.239.223.14, service. macinstallerinfo.com, Urls*, 10 US)…”

Section: Au Tommy Schart It-developer Group Consolekit Microsoft mentioning

confidence: 99%

From logs to Stories: Human-Centred Data Mining for Cyber Threat Intelligence

et al. 2020

View full text Add to dashboard Cite

An average medium-sized organisation logs approx. 10 to 500 mln events per day on the system. Only less than 5% of threat alerts are being investigated by the specialised staff, leaving the security hole open for potential attacks. Insufficient information in alert message produced in machinefriendly rather than human-friendly format causes cognitive overload on currently limited cybersecurity resources. In this paper, the model that generates the report in natural language by means of applying novel storytelling techniques from security logs is proposed. The solution caters for different levels of reader expertise and preference by providing adjustable templates, filled from both local and global knowledge base. The validation is performed on case study from Security Operations Centre (SOC) at educational institution. The report generated proves superior to existing approach in terms of comprehension (increased cognition) and completeness (enriched context). The evaluation demonstrates power of storytelling in potential threats interpretation in cybersecurity context.

show abstract

Implementation of robot journalism by programming custombot using tokenization and custom tagging

Cited by 10 publications

References 4 publications

Robot Chat System (Chatbot) to Help Users “Homelab” based in Deep Learning

Robot Chat System (Chatbot) to Help Users “Homelab” based in Deep Learning

AI-Based Chatbot for College Management System

From logs to Stories: Human-Centred Data Mining for Cyber Threat Intelligence

Contact Info

Product

Resources

About