China’s First Natural Language-based AI ChatBot Trader

Zhang, James Y; Li, Zhi; Fang, Hao; Wu, Jun; Shen, Zhongnan; Zheng, Jing; Chu, Wei; Duan, Weiping; Xu, Peng

doi:10.1145/3543873.3587633

Cited by 2 publications

(1 citation statement)

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“…Chatbots, programs simulating human-computer conversations, can be a solution to enhance the efficiency of the new student admission process in pesantren [5].…”

Section: Introductionmentioning

confidence: 99%

Enhancing Durrotalk Chatbot Accuracy Utilizing a Hybrid Model Based on Recurrent Neural Network (RNN) Algorithm and Decision Tree

Darmawan,

Arifudin

2024

JUITA

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DurroTalk, a chatbot for new student admissions at Pondok Pesantren Durrotu Ahlissunnah Waljamaah, Semarang, integrates a hybrid model with Recurrent Neural Network (RNN) and Decision Tree. RNN, the base model, employs Natural Language Processing (NLP) to understand sentence structure and context, overcoming vanishing gradient through LSTM layers. The Decision Tree normalizes words, addressing slang and synonyms. The hybrid model boosts chatbot accuracy by 9%, reaching 77% from the initial 68%. This research signifies progress in integrating artificial intelligence into traditional education, showcasing a chatbot adept at handling non-standard language. Decision Tree integration enhances overall performance, making the chatbot proficient in understanding user inputs and generating contextually relevant responses. This study exemplifies the potential of AI, particularly chatbot technology, in modernizing educational processes at traditional institutions.

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“…Chatbots, programs simulating human-computer conversations, can be a solution to enhance the efficiency of the new student admission process in pesantren [5].…”

Section: Introductionmentioning

confidence: 99%