ROLES

Quantitative Researchers

Classify customer feedback or any text based data with topic modeling, filter classified data by negative or positive sentiments, leverage multi-label classification to have a deeper understanding. Scrape reviews from 30+ sources with the free browser extension of Kimola Cognitive, generate summary, SWOT analysis, buyer personas, positive negative reviews summary with the help of GPT. Simply drag and drop spreadsheets to analyze data instantly, without any training. Understand customer reviews based on the context rather than yielding on pre-defined labels.

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Paste link, analyze, get report starting from $12

Leverage Kimola.com's scraping and analyzing capabilities with one click to analyze reviews from popular platforms like Trustpilot, Tripadvisor, Google Business, Amazon, App Store, or Google Play. Simply paste the links into the search box on Kimola.com to quickly scrape and generate instant customer feedback analysis reports. This integrated approach enables seamless data extraction and analysis across multiple review platforms, streamlining your research process.

Paste link, analyze, get report starting from $12
Drag and drop your spreadsheet to analyze customer feedback.

Drag and drop your spreadsheet to analyze customer feedback.

Kimola Cognitive offers a user-friendly interface to analyze customer reviews in a spreadsheet. With simply dragging and dropping customer feedback, you can analyze open-ended survey responses, conversational data such as agent-customer conversations and get an instant analysis.

TOP Features of Kimola Cognitive for Quantitative Researchers

  • Analyze reviews with auto-classification without training
  • Get multi-label classification
  • Sentiment analysis
  • Generate summaries with GPT
  • Get NPS Calculation
  • Analyze feedback in 25+ languages
  • Scrape reviews from 30+ websites
Start with Kimola Cognitive
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Frequently Asked Questions

  • Quantitative researchers can classify customer feedback or any text-based data efficiently with Kimola Cognitive using advanced topic modeling. This AI-driven approach allows for the automatic categorization of feedback into relevant themes without any need for manual setup or training.

  • Multi-label classification enables a deeper understanding of data by allowing multiple relevant themes or sentiments to be assigned to a single piece of feedback. This enriches the data analysis, providing quantitative researchers with a comprehensive view of customer opinions and behaviors.

  • Sentiment analysis in Kimola Cognitive automatically identifies and categorizes the emotional tone of text data as positive, negative, or neutral with up to 97% accuracy rate. This feature is critical for quantitative researchers aiming to gauge overall sentiment trends in customer feedback, enabling them to quantify data that traditionally would require qualitative analysis.

  • Yes, with the free browser extension of Kimola Cognitive, quantitative researchers can effortlessly scrape reviews from over 30 sources including Trustpilot, TripAdvisor, Google Business, Amazon, App Store, and Google Play. This feature simplifies the aggregation of diverse data sets for comprehensive analysis.

  • Quantitative researchers can drag and drop a spreadsheet and classify reviews automatically using Kimola Cognitive. They can also generate various interpretations such as summaries, SWOT analysis, buyer personas, and summaries of positive and negative reviews utilizing GPT technology. This automated process aids in swiftly transforming raw data into actionable insights without extensive manual effort.

  • Absolutely. Kimola Cognitive allows for the straightforward analysis of customer feedback contained in spreadsheets through a simple drag-and-drop interface. This enables quantitative researchers to analyze open-ended survey responses and conversational data such as agent-customer conversations instantly, facilitating immediate insight generation.

  • By leveraging Kimola.com's scraping and analysis capabilities, quantitative researchers can simply paste links from platforms like Trustpilot, TripAdvisor, Google Business, Amazon, App Store, or Google Play into the search box. This provides a quick and efficient way to scrape and generate instant customer feedback analysis reports starting from $12. Kimola.com offers single reports by medium without a monthly subscription.