Comparative Study of Machine Learning Platforms for Text Analytics

Abstract

In this paper, a comparative study of popular machine learning environments used for text analytics is discussed. These environments include Weka, RapidMiner, Python-based environments, and RStudio. For this purpose, a study of existing literature on text analytics environments is conducted. These environments are compared on the basis of usability, scalability, and flexibility, including their suitability for natural language processing. The comparison is conducted by keeping in view the distinction between GUI-based environments and programming-based environments. At the same time, research gaps and trends in text analytics environments are identified. These gaps and trends are beneficial for choosing suitable environments for sentiment analysis and text mining.