A Critical Evaluation of the Application of Natural Language Processing (NLP) For Enhancing Text and Speech Mining
Akash Saxena, Sahil Bains, Shouvik Sanyal, M. Ravichand, Purushottam Das, Sushma Jaiswal · 2023
This research paper has focused on the concept of Text mining and “Natural Language Processing or NLP” using Deep Learning. Text mining, also known as “Text Analytics”, employs Artificial Intelligence techniques and Machine Learning algorithms to convert uncontrolled corpus into standardized and normalized databases for further research. Text mining and NLP are two scientific topics that are mutually exclusive. These fields both deal with extracting text from unstructured materials, such as data that cannot be categorized or sorted numerically. NLP is more intriguing than text mining, according to Google Trends. Despite this, internet access has resulted in a dramatic increase in the number of documents that contain natural languages. To deal with the influx of documents, text mining and natural language processing (NLP) are required. Early computerized methods to language research centred on automation linguistic analysis method and building foundational technologies like language processing, language processing, and language processing. This research paper aims to evaluate the NLP in enhancing speech and text mining. In order to get information regarding this topic, researchers have used secondary data collection method to gather effective information from different journals and articles.