A Framework for Opinion Mining in Blogs for Agriculture

In recent years there is much talk about blogging and the way in which blogs influence media and change the way people communicate and share knowledge. Blogs are also at the center of attention commercially, while a large number of academic staff researches on them. Furthermore, blogs represent an important new arena in agriculture sector for knowledge discovery since farmers use them for professional reasons. Opinion mining is a kind of text mining. Its goal is to assess the attitude of the author with respect to a given subject. The attitude may be a positive or negative opinion. This paper outlines the challenges and opportunities of the blogs for agriculture in terms of analyzing the information which is stored in them. The used technique in an experiment blog with the aid of the RapidMiner software is opinion mining. This framework may thus help establish baselines for these opinion mining tasks in agriculture.