Aspect Based Opinion Mining Toolkit using Natural Language Processing (NLP)

In today's world, the importance of analyzing sentiments and understanding emotions from textual data has become increasingly crucial. This paper explores the Aspect Based (AB) approach to Sentimental Analysis (SA) and Opinion Mining (OM) using Natural Language Processing (NLP). After giving a brief explanation and comparison of the various existing models of ABSA and ABOM using NLP, we show the implementation of Aspect Based SA and OM toolkit(which can be found on GitHub). We train our model on a dataset which is specifically annotated with aspects so that we can elaborate on the various aspects that can be separately accounted for using this toolkit. Overall, we provide a robust overlook on the various methods of ABSA and ABOM using NLP and then show the implementation and application of our own method and its benefits in field of business intelligence.