NLP in Business Analytics: Generating Insights from Textual Data Using NLP Models

The following study aims to develop and finetune an unified platform that includes Natural Language Processing applications like Sentiment detection, Information extraction, and Text summarization to ease the analysis job in the business world which involves textual data. The motivation for this research is to emphasize the necessity of a platform that works on textual data using Natural Language Processing models, which helps in business analytics through insights gain and pictorial representation of data, enabling better decision-making and understanding of market trends. This platform will be utilized under academic institutions, allowing business students and educators to get valuable insights, such as pictorial representation, by seeing the limitations on the use of chatbots in many educational institutions developing a unified and task-oriented platform that works under the institutional and learning guidelines is the main motivation for this research. This platform helps in generating graphs and charts that makes it easy to understand the required patterns that are more understandable and that is easily accessible to draw conclusions from the textual data which increases the approach beyond numerical data for business analysis.