Futuristic of Text Mining, Analysis, and Analytics for the Next Level of Innovation
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Abstract
It is estimated by CAGR that by the year 2025, the market data size of data going to surge by more than 30 billion more data (Chand, 2019) has been created in the last two years than in the entire history of the human race. -The volume of data is increasing every second, alone on Google there are 40,000 search queries executed every second. With the rate at which the data is growing, businesses of all sizes will be using some form of text analysis to impact their business. (Marr, 2019) All the data stored is in an unstructured format, it needs to be converted to a structured format to perform the analysis. So, we proposed to make a system that can convert unstructured information to a structured format after cleaning so that further different operations can be performed on the cleaned structured data. The language which we are dealing with is English. Different text-analyzing techniques can be performed afterward.
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