I will help you analyze customer reviews and find their sentiment to improve strategic decision making
- 4.3
- (5)
Project Details
Why Hire Me?
I specialize in extracting deep insights from customer reviews using advanced sentiment analysis techniques. My goal is to help you understand not just what your customers say, but what they mean—transforming feedback into clear, strategic action points.
Key Strengths:
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Experience with NLP tools and sentiment models across industries
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Structured reports with category-wise feedback trends and actionable summaries
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Ability to identify hidden drivers of satisfaction or frustration
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Adaptable to various data sources including eCommerce, apps, and social platforms
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Ethical data handling and secure project execution
What I Need to Start Your Work
To begin your customer sentiment analysis project, I will need:
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Source of Reviews
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Where the reviews are collected from (e.g., Amazon, app store, feedback forms)
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Raw data file in a structured format (CSV, Excel, JSON, etc.)
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Objectives of Analysis
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What do you want to learn: customer happiness, product flaws, service gaps, etc.
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Any feature-specific or category-specific focus (e.g., delivery time, product quality)
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Volume and Format of Data
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Approximate number of reviews
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Format and whether the reviews are already cleaned or preprocessed
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Reporting Needs
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Metrics you expect: overall sentiment score, most frequent terms, etc.
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Visual preferences (charts, dashboards, keyword clouds)
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Timeline and Communication
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Final deadline and preferred update frequency
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Preferred communication mode (email, WhatsApp, call)
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Other Specifications
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Any specific tools or methods to be used
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Any prior analysis already done that needs to be extended or revised
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Portfolio

Sentiment Analysis of Amazon Reviews for Product Design Insights
Analyze 5,000+ Amazon reviews using NLP to uncover key complaints and feature requests. A real-world case study in sentiment analysis for product improvement and customer-driven design decisions.

Cross-Channel Sentiment Analysis for Fashion Retail Brand
Compare customer sentiment across website reviews, Instagram comments, and Google feedback. A practical sentiment analysis case study to guide omnichannel strategy and improve customer experience in retail.

Theme-Based Sentiment Analysis of Hotel Guest Reviews
Analyze guest reviews by themes like cleanliness, food, and staff to improve hotel operations. A sentiment analysis case study using R to uncover service insights and guide hospitality strategy.
Process

Customer Reviews
5 reviews for this Gig ★★★★☆ 4.3
took a bit longer than expected but the report was detailed and helped in our marketing strategy planning especially for low rated items
analysis was sharp and to the point no fluff gave me direct areas where we were messing up and even gave examples from actual reviews
i finally understood what customers were silently frustrated about he helped me relook our return policy based on data
great report and visuals but would have liked more focus on my product category instead of general comments still useful though
i had a bunch of customer reviews from whatsapp and amazon, he sorted them out by tone and gave me a clear direction on what we’re doing wrong in delivery