Machine Learning Model Development Using Text Insights: Using the textual voice of customers $($VoC$)$ available on a brand$$s social media $-1)$ develop a marketing theory$-$driven text classification dataset, $2)$ develop and train a new custom text analysis model using a machine learning tool, $3)$ test the newly developed text analysis model and provide evidence of its reliability, and $4)$ discuss the applications of the model. For developing a machine learning model, select any brand $($except Woolworths & Coles$)$ operating in any country as long a high volume of VoC in the English language is available on the brand$$s socials. Using the data from the brand$$s socials, prepare a text classification dataset $($i$.$e$.,$ training dataset$).$ Use the training dataset to develop a machine learning model using the online tool demonstrated in Week $9.$ A training dataset should have adequate data for developing a reliable model. Test the newly developed text analysis model and justify its reliability. Briefly discuss the applications and benefits of the model.

Note: the training dataset table is not included in the word count. Use the step$-$by$-$step theory$-$driven text analysis model development process demonstrated in the Week $9$ workshop as a guide for this task.