A SURVEY ON BENEFITS OF MACHINE LEARNING TECHNIQUES FOR SENTIMENTAL APPROACHES USING DATA MINING

Different websites as well as social media platforms are the abundant sources of user generated data. And so world wide of users use these resources and share their opinion as well as their suggestions about different subjects. We can’t observe and analyse these huge amount of data generated by user by manual mode is quit impossible. Therefore we need a specific and effective techniques which can analyse and provide the crux of the textual data. Several techniques are available today for automatic sentiment classification for the user generated data. There are three types of approaches are there. Lexicon based technique, machne learning technique and hybrid technique. Out of the three machine learning approach is effective and reliable for opinion mining and sentiment classification. The aim of the study is to find the variety machine learning techniques to find its importance and find to raise an interest for the research area.