Sentiment Classification of Reviews using Combination of Flower Pollination Algorithm and ANN
Abinash Tripathy, Utpal Chandra De, Bibhuti Bhusan Dash, Sudhansu Shekhar Patra, Trilok Nath Pandey, Minakhi Rout · 2024
With the availability of many social media sites, the reviews and comments by the customers are freely available for analysis. As reviews are in text, the amount of words needs to be processed for any analysis work is very large in amount. So, approaches need to be adopted for minimizing count of words without affecting the result. Thus, Flower Pollination Algorithm is used in present paper to select the fit reviews by using a fitness function. These fit reviews are than given input to Artificial Neural Network (ANN) for further classification. The classification result is evaluated with the help of confusion matrix and various other performance evaluation parameters obtained from the confusion matrix. Finally, the result is compared with the result of existing papers to validate the result. The accuracy value obtained is 97.7%, which is found out to be comparably better than recent manuscripts in the same area.