NLP Based Approach for Classification of Positive and Negative Opinions About the Pesticide Product in an Agricultural Domain

Selection of good pesticide product to save crops is the difficult task for the farmers. Nowadays, farmers use web to give feedback about the pesticide product in blogs / post the opinion about pesticide product in online shopping website. With the help of these data, knowledge discovery can be performed. Opinion Mining is the process of assessing the viewpoint of the consumer regarding the given subject. The viewpoint can be positive or negative. Here, a novel approach for the automated discovery of positive and negative opinion about the pesticide product is developed using opinion mining concept. This paper presents extensive evaluation of opinion mining which makes use of classification analysis.