189x Filetype PPTX File size 0.92 MB Source: indico.brin.go.id
PRESESNTATION OUTLINE Background Research Objectives Research Design Results Future Directions BACKGROUND • Enormous complaints data being produced on a daily basis • Classifying complaint on the basis of keywords found in review or complete text can be tedious and time-taking if done manually TEXT CLASSIFICATION USING MACHINE LEARNING • Text classification is a popular application of Natural Language Processing(NLP) • On the basis of keywords found in text to be classified, classification is performed. • Sentiment analysis, product mining, content tagging, Text classification, product classification, etc. are some widely known applications of text classification. Classify complaints using machine learning algorithms RESEARCH Categorize complaints in predefined classes OBJECTIVES Implement ensemble classifiers including Adaboost and Random Forest METHODOLOGY Data Collection Data Preprocessing Traini ng Performance Evaluation
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