Effectiveness of recent research approaches in natural language processing on data science-an insight

Abstract

With the exponentially increasing size and complexity of the data in present time, data quality has become a major concern with respect to data analytics. The potential capability of Natural Language Processing (NLP) is already known and being harnessed by various researchers to evolve up with some significant analytical process. However, there is less number of research works emphasizing on applying NLP over the data with complexity reported in current times in the area of big data. Therefore, the primary contribution of this manuscript is to review the most recent work towards NLP based approaches for data analysis where input data could be either text or non-textual too. The secondary contribution is to gauge the level of effectiveness from the existing research approach with NLP-based practices towards leveraging better data quality in data science.