Natural Language Processing through the Subtractive Mountain Clustering Algorithm - A Medication Intake Chatbot

In this work, the subtractive mountain clustering algorithm has been adapted to problem of natural languages processing in view construct a chatbot that answers questions posed by user. The implemented version allosws for association set words into clusters. After finding centre every cluster — most relevant word, all others are aggregated according defined metric language realm. All stored information (necessary answer questions) is processed, as well questions, algorithm. correct text enables produce relate queries. Since we have help elder people with medication, validate method, use package insert drug available and formulate associated questions. Errors medication intake among elderly very common. One main causes their loss ability retain information. high amount medicine required advanced age another limiting factor. Thence, design an interactive aid system, preferably using language, older population demand. A based on chosen solution.