Implementasi Metode NLP Dalam Pembuatan Chat Bot Telegram

Abstract

In the current digital era, the use of chat bots has become increasingly popular, especially on
instant messaging platforms like Telegram. To create a better user experience, accurate and
responsive understanding of user messages is necessary. In this regard, Natural Language
Processing (NLP) plays a crucial role. The goal of this research is to implement NLP methods in
the development of a Telegram chat bot using an appropriate and effective approach. In this
implementation, experiments and testing are conducted to ensure the functionality and
responsiveness of the bot. Testing involves sending messages to the bot and evaluating the results
of NLP processing and bot responses. During this process, enhancements and improvements are
made to enhance the bot's ability to understand and respond to user messages more effectively.
NLP methods are applied in message handling. Entity recognition is used to identify important
information such as names, locations, or dates from user messages. Intent understanding is
performed to determine the intentions or goals behind received messages. Natural language
processing is used to analyze sentiment, keywords, or language structure in messages. Based on
the results of NLP processing, the bot provides appropriate responses to users through the
Telegram bot API.