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Dynamic Classification

Analyze customer reviews without any training in seconds with dynamic classification technology.

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Individual researchers, product managers, start-up founders

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start-up founders create 5 reports in every 3 minutes at Kimola.

Analyze instantly, without training

Discover a straightforward approach to text analysis with Dynamic Classification—no intensive training required. Unveil the intricacies of customer feedback, online reviews, and survey responses by examining word relationships and dynamically generated labels. Leave the complexities of traditional methods like pre-defined labels and embrace the ease of exploring hidden patterns in data. Drag and drop dataset and explore the potential of textual data with ease by instant analysis.

Analyze instantly, without training
Flexible and detailed labels

Flexible and detailed labels

Consider the varied landscape of labels across different datasets for various businesses. Now, envision a technology seamlessly adapting to these differences when you upload a dataset. Dynamic Classification acts as an adaptable force, customizing labels to fit the unique context of your specific data. Instead of relying on generic, pre-defined macro labels, explore a nuanced understanding without the need for manual data sifting. Dive into the topics that naturally emerge, guiding the exploration process and swiftly uncovering insights that might otherwise go unnoticed. This technology offers efficiency and adaptability, recognizing the distinct nature of textual data and making the journey of exploration and discovery a straightforward and authentic experience.

Read more about why Dynamic Classification matters
Read more about why Dynamic Classification matters
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World-Class Customer Support

Since data analytics is a highly sophisticated area, besides offering a good UI/UX, Kimola provides educational content such as articles and video tutorials. Also, you will have live chat support in the dashboard.

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Latest
Announcing Integrations for Kimola Cognitive; Zendesk, Intercom and Google Drive
Announcing Integrations for Kimola Cognitive; Zendesk, Intercom and Google Drive

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Breaking Barriers in Research with Kimola's New NLP Datasets
Breaking Barriers in Research with Kimola's New NLP Datasets

We are thrilled to share that our comprehensive NLP Datasets repository is now available on Kimola's GitHub.
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How to Analyze Hotjar Survey Data? A pro guide for researchers.
How to Analyze Hotjar Survey Data? A pro guide for researchers.

Dive into the depths of customer feedback with our guide on analyzing Hotjar survey data.
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Announcing Multi-label Classification for Customer Feedback Analysis
Announcing Multi-label Classification for Customer Feedback Analysis

Kimola Cognitive takes another stride forward with the introduction of Multi-Label Classification Technology.

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Announcing Dynamic Classification Technology: Contextual Understanding of Customer Feedback
Announcing Dynamic Classification Technology: Contextual Understanding of Customer Feedback

Today, we are announcing our Dynamic Classification technology that uncovers the hidden structure in customer feedback and group...
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Frequently Asked Questions

  • Kimola Cognitive’s dynamic classification technology supports analyzing any text based dataset instantly, without any training. Dataset needs to dragged and dropped to the dashboard of Kimola Cognitive to get the analysis.

  • Kimola's Dynamic Classification Technology breaks free from the limitations of pre-defined labels and categories. Unlike traditional approaches that rely on static classifications, our technology dynamically generates labels based on the actual content of the data, providing a more nuanced and accurate understanding of consumer opinions.

  • Dynamic Classification uncovers hidden structures in text by analyzing relationships between words and grouping them into dynamically generated labels. This process occurs in real-time, allowing businesses to make sense of vast amounts of customer feedback, online reviews, survey responses, and other textual data sources without the need for manual intervention.

    • Flexibility: Our technology adapts to your data, allowing you to extract insights in previously unimaginable ways.

    • Precision: Dynamically generated labels ensure topics identified align precisely with content, leading to sharper insights.

    • Efficiency: Automation of the categorization process saves valuable time and resources, enabling researchers to focus on strategic decision-making.

  • Our technology requires no domain expertise in the given research topic. Regardless of the dataset's size, it analyzes all content and dynamically creates labels based on the context, offering researchers the freedom to explore data without constraints.

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