In recent years, Big Data analytics has gained widespread recognition and been applied in various fields, including marketing, finance, and medical domain. Text analytics, a subfield of Big Data analytics, has been a trending topic due to the emergence of fast improving Natural Language Processing (NLP) techniques and the increasing amount of text data on the web, such as blogs, forums, social media, and reviews. Leveraging text data presents an excellent opportunity for enterprises to acquire valuable insights and make data-driven decisions. However, there is no one-size-fits-all solution for companies adopting Text analytics. Strategies for implementing algorithms and tuning parameters may vary depending on different domains and scenarios. This paper introduces a web-based workflow system called Text Analytics and Retrieval Flow (TARFlow) for non-technical people to make use of NLP and machine learning techniques without programming, enabling them to concentrate on generating insights.