T he rapid growth of the Internet has created a vast amount of unstructured text data since the birth of the Internet in 2003. Text mining, also known as text analysis , is the process to apply a set of algorithms to transfer qualitative data to quantitative data and to find patterns and discover associations hidden in the unstructured text. It is now becoming increasingly popular in many application areas including text mining of hotel customer comments, interpreting students' comments in teacher evaluations, understanding product reviews, and so on. However, text mining has not yet found many applications in Aquaculture and Fisheries.
Web based reviews of best fishing traits in Arkansas from 2008 to 2019 were collected. Sentiment analysis was applied. Sentiment analysis is the computational technique finding and classifying opinions or comments expressed in a piece of text in order to evaluate the writer's attitude towards a topic , product, etc., as positive, negative, or neutral.