process coded and text data #2
Instructions
Why is it necessary to process coded and text data before using data mining methods?
Answer
Preparation of data is a significant phase, and it ends up consuming 90% of the process's time. Text preprocessing can be defined as the act of putting data in a form that can be easily analyzed and predicted for the task to be undertaken. It involves noise-cleaning such as stop words, punctuations, and texts without relevant importance. Lack of appropriate preprocessing of coded and text tends to lead to inconsistent outcomes in the process. There are several benefits involved in text preprocessing.Tokenization is the first step involved in preprocessing. Text data punctuations are removed at this step, and text of words are offered tokens. In the second step, filter stop-words, document words that are not significant in offering intelligent information are eliminated (Karla et al., 2018)...
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