Opinion mining and sentiment analysis have become popular in linguistic resource rich
languages. Opinions for such analysis are drawn from many forms of freely available
online/electronic sources, such as websites, blogs, news re-ports and product reviews. But
attention received by less resourced languages is significantly less. This is because the
success of any opinion mining algorithm depends on the availability of resources, such as
special lexicon and WordNet type tools. In this research, we implemented a less complicated …