A home security company for an apartment complex, HSS, wants to improve their market share and get more customers. Their

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A Home Security Company For An Apartment Complex Hss Wants To Improve Their Market Share And Get More Customers Their 1 (139.94 KiB) Viewed 20 times

A home security company for an apartment complex, HSS, wants to improve their market share and get more customers. Their data scientist working on the project has free-form textual comments from their existing customers on the type of features they like and do not like. Some sample customer responses below: • "I like HSS and have been using them for 5 years. I wish you could maintain the same price as when I first subscribed." • "HSS is okay. They do not have automated alerting when a delivery is at the entrance. The security guard calls me in the middle of work to ask if I should accept a delivery. This feature is really important for me." • "Bakwaas service. I am going to switch out to VSS next month. HSS is pricey and depends on manual guards to do a lot of work that is taken care of by the VSS app automatically. Getting packages is a hassle." • "our service is great. Sabse best HSS." Using textual analysis on the customer responses, the DS was able to collect the customer requested features for HSS and rank them in Sing textua terms of how many customers requested it (Eg: Price, Automation of Entry via app, etc). Answer the following that the DS would have implemented in their ML algorithm for the project. [1+1+1+4+1=8] 20 2ted in ti (a) Identify one lexical substitution example from the above context and sample customer responses. (b) Identify one new word to be added to the dictionary for textual analysis based on the above context and sample customer responses. (c) DS working on the project was using the English dictionary and used the Porter method. Give one suggestion for how the DS can improve the accuracy of the text mining. (d) Convert the above reviews into statements after applying Porter Stemmer. Assume that the stop words are not removed. (e) Identify one feature engineering technique that can be applied for sentiment analysis application