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