Overview of Big Data and Natural Language Processing: A Powerful Combination for Research
Bishwa Ranjan Si, Brojo Kishore Mishra · Apple Academic Press eBooks · 2021
Over the years, there has been a remarkable interchange between Big Data and Natural Language Processing (NLP) with insights from different computer science field enhancing the development of theory, methodology, and resources. Due to the in-constructed multifaceted nature of normal dialects, numerous regular language errands are not well modeled for scientifically characterized algorithmic solutions. To maintain a strategic distance from this issue, statistical machine learning (ML) approaches are utilized. The rise of Big Data empowers another paradigm for taking care of NLP issues dealing with the unpredictability of the issue space by doling out the intensity of information for building top-notch models. This section gives a prolog to different core NLP errands and features their information-driven arrangements. A couple of delegate NLP applications are depicted that are fabricated utilizing the core NLP assignments as the fundamental foundation. Different wellsprings of Big Data for NLP investigation are examined trailed by Big Data-driven NLP research and applications. At long last, the part finishes up by demonstrating patterns and future research headings [ 1–9 ].