ANSWER THE ALL QUESTIONS

TOPIC: Enhancing Customer

Experience Through Sentiment Analysis

Complete the Project with that topic Hopefully, you have identified the data science problem you want to solve, and you are making good progress. Work on the approved project topic. Topic analysis, a presentation on the topio with all details

Objective: $(8$ Marks$)$

Be specific with respect to the objectives of your analysis. What can the organisation expect? What are the benefits? Clear and concise presentation slides that show understanding of the Industry and Project topic:

Sets clear expectations to the company and clients

Tells about benefits to the organisation.

States the objectives in a wray that it appeals to the non$-$technical audience.

Effective use of bullet points, images and PPT skolls

Approach: $(5$Marks$)$

Describe the process that you mill go through. How you determined the solution, where would you get additional data if required. How was the data, did you require any cleaning$/$pre$-$processing of data. How would you implement the solution. Crisp and clear slides mentioning all the expected details.

Explanation of methodology and approzch is well defined

Mentioned claar understanding of data and short wording of processing

Analysis $-$ I & $2(15$marks$)$

Presentation of Results. Present the results of your analysis, be sure of your work and precise in your explanation. Clear and concise slides showing the results of your work from a business perspective.

Give them the necessary information and display the results without $100$ much of technical details $($All lechnical details and oodes can go in appendia$).$

Correct Analytical Techniques: Select the correct analytical technique. Briefly describe why this is the correct technique You can also specity evaluation metrics scores. Selects the best technique and implements it with a ratonale. Archives best results with the lechniques used and are able to communicate the WHY behind the technique.

Analysis $3$: Data Analysis$(10$ marks $)$

Describe the variables used for your analysis and their importance. Show the results of your validation in a way that can be monetised or quantified by the client Include appropriate Graphics. Labelled axes, consistent use of colours, eto how's the results of the analysis$/$models in a way that the sponsor can easily see how the models can be monetised.

Inclusion of clear graphics that show non$-$technical audience members the results of your analysis.

Graphics should be clearly labelled and easily understood.

Recommendation: Inclusion of clear and insightful recommendations that are easily understood by the organisation's top management. Suggestions and scope of improvement is given. Few other useful predictions are provided. $(8$ marks$)$