Time and Domain Specific Twitter Data Mining for Plastic Ban based on Public Opinion

Every product available in our environment has a shelf-life, but plastic is the only material that is non-degradable. The complex polymer presents in the plastic make it durable and non-degradable. As a result, it found in different forms on the earth for a long time. People have become used to of plastic made product in day to day life like carrying bags, disposable cutlery, food packaging and many more. Extensive quantities of plastic waste have accumulated in nature and landfills and have posed an alarming hazard to the environment and have achieved the height of crisis level. Nowadays, India is amongst the high rated nations that produce a vast amount of plastic wastes and ranked four throughout the world. Though there is a law against the use of plastic in India the consumption of plastic made products is at the highest level as the restriction of usage is completely and effectively not implemented. In this paper, a model is proposed for analyzing the opinion of Indian population on the plastic ban with the help of sentiment analysis technique on Twitter textual data and train and test a machine classifier based on learning approach with several combinations of datasets achieving 77.94% classification accuracy. The result obtained will help to understand how effective and successful polybags ban scheme will be when entirely implemented in India.