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Steele, e portfolio manager develops a machine learning ( ML ) model to predict downgrades of publicly traded firms by bond rating agencies. The model

Steele, e portfolio manager develops a machine learning (ML) model to predict downgrades of publicly traded firms by bond rating agencies. The model currently relies only on structured financial data collected from different sources. Steele plan to incorporate sentiment data derived from textual analysis of news articles and Twitter content relating to the subject companies. Steele believe that the preprocessing of the raw text data can be completed in the following steps
Step1: Cleanse the raw test data
Step2: Split the cleansed data into a collection of words from Step2 and create a distinct set of tokens from the normalized words.
Step3: Normalize the collection of words from Step2 and create a distinct set of tokens from the normalized words
With respect to Step1, Steele believe that she should remove all html tags, punctuation, numbers and extra white spaces from the data before normalizing them. is Steele's belief regarding Step1 of the preprocessing of raw text data correct?
O Mes
No, because her suggested treatment of punctuation is incorrect.
No, because her suggested treatment of extra white spaces is incorrect.
Void

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