How to improve restaurant reviews with data analysis | Tushar P. posted on the topic | LinkedIn (2024)

Tushar P.

Data Analyst @ Data for Good/Statistics Without Borders | Machine Learning; NLP

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Navigating the restaurant industry's challenges, I've observed a worrying trend: the rise of purchased #fake reviews. Such practices, while temporarily boosting online images, ultimately detract from efforts to enhance service quality and customer satisfaction. True advancement requires genuine feedback engagement, not its concealment.My latest project is focused on leveraging #restaurant #review to uncover invaluable insights, focusing on:- Sentiment Analysis: Understanding overall customer feelings.- Menu Performance: Identifying what's working (and what's not).- Aspect Analysis: Diving into specifics like service, ambiance, etc.Through actionable #strategies, aimed towards:- Optimize menus- Enhance service- Improve ambiance- Unlock marketing opportunitiesOutcome? This quarterly report is set to revolutionize restaurant revenues and brand reputation by proactively addressing and adjusting based on feedback.P.S. - I checked the link to the group and it is legit!#dataanalysis #reviews #reviewanalysis #customerinsights #customeranalytics #customerexperience #hospitalityindustry #nlppractitioner #revenuegrowth #brandidentity

  • How to improve restaurant reviews with data analysis | Tushar P. posted on the topic | LinkedIn (2)

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Tushar P.

Data Analyst @ Data for Good/Statistics Without Borders | Machine Learning; NLP

1mo

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Are you a restaurant owner, manager, or head chef? As this project nears completion, seize the opportunity to be among the first to gain a competitive edge. Reach out to me, and let's elevate your restaurant to new heights together.

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Ivan Brewer

CEO/ Founder @Peiso | President AWCC

3w

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Hi Tushar P. It would be interesting to chat about collaborating, as I’ve had a framework in mind for this for a decade or so.

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Sai Reddy

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1mo

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they are actually scammers who will pay 300$ for a review? first they ask you to review and pay little bit later they show some investment scams like invest 100$ and get 200$ after getting some trust they ask you to invest big amount if you fall for that trap its over.

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