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9.1

Spot Score

Keatext - Text Mining Software

Keatext Review: Is It The Right Text Mining Software For Your Team?

Best for SMB teams · Mid-market

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Starts from $100 / Month

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SpotSaaS Analysis for Keatext

Keatext is a text mining software primarily used by data analysts, market researchers, and customer experience managers in medium and small businesses. A rating of 4.7/5 from 123 reviews indicates it is broadly validated by users for its effectiveness and reliability.

Keatext excels in employing advanced statistical techniques, enabling users to extract data quickly and efficiently. Its user-friendly interface further enhances the experience, making it accessible for those who need to derive insights from text data. However, potential users should be aware of a steep learning curve, which might require additional time to master.

Quick facts about Keatext

Rating4.7/5 (123 reviews) | SpotScore: 9.1/10Best forData analysts, market researchersPricingFree tier; paid plans publicDeploymentBrowser BasedTop strengthAdvanced statistical techniquesWatch-outSteep learning curve

What is Keatext?

Keatext, the text mining software package, offers the following statistical techniques: t-test, ANOVA, Kolmogorov Smirnov test, Chi-Square test, Z-test and linear regression; furthermore it is possible to compute concordances and collocations. The Keatext Text Mining software allows to quickly extract maximum meaning using digital text data.

Pricing

  • Starts from $100 / Month

  • Free Trial available

Best For

Built for growing teams, from small businesses to mid-market

Security & Compliance

GDPR
  • Data residency:🇺🇸

Keatext Software Demo

Keatext was reviewed internally using user feedback, in-house testing, and market research to assess its performance, reliability, and user experience. Learn how we review products and our evaluation process.

Who should consider Keatext

Use cases
Customer feedback analysis, Market research, Product development insights
Team types
Data analysts, Market researchers
Company size
11-50 employees, 51-200 employees
Workflow style
Flexible and configurable
Setup complexity
Medium

Why teams choose Keatext

  • Comprehensive statistical text analysis techniques including t-test, ANOVA, and regression

  • Ability to compute concordances and collocations for deeper text insights

  • High accuracy in extracting meaningful information from digital text data

Is Keatext right for you?

Best for data analysts needing advanced statistical text mining techniques.

Choose Keatext if

  • You require rigorous statistical tests like t-test, ANOVA, and regression in text analysis.
  • You want to extract deep linguistic insights such as concordances and collocations.
  • Your team values high accuracy and flexible, configurable workflows for text data processing.

Consider alternatives if

  • You need out-of-the-box industry-specific NLP models or templates.
  • Your organization demands transparent pricing and extensive integration capabilities.

What buyers should know before shortlisting Keatext

Keatext offers robust text mining capabilities with a variety of statistical techniques, making it suitable for researchers and analysts. Its ability to quickly extract meaningful insights from text data is a significant advantage for data-driven decision-making.

Pros and cons

Keatext pros and cons

  • Keatext pros
  • Comprehensive statistical text analysis techniques including t-test, ANOVA, and regression

  • Ability to compute concordances and collocations for deeper text insights

  • High accuracy in extracting meaningful information from digital text data

  • Keatext cons
  • Lack of publicly available pricing details may complicate budgeting

  • No explicit mention of pre-built industry-specific models or templates

4.7/5 rating
3 verified reviews
Free trial available

Ready to try it?

Get started with Keatext

Start your free trial — no credit card required.

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Keatext reviews and ratings

Buyer sentiment

Users generally praise Keatext for its powerful statistical text mining capabilities and accuracy, though some note the pricing and integration details are not transparent.

What buyers like

  • Advanced statistical analysis
  • Accuracy of text insights
  • Flexibility in text data processing

Common complaints

  • Pricing opacity
  • Lack of integration details

4.7

Excellent

Based on 123 ratings & 3 reviews

Rating Distribution

Excellent

(3)

Very Good

(0)

Good

(0)

Poor

(0)

Poor

(0)

What users are saying

HK

Helen K

08/10/20

5 out of 5

Impressive tool with great customer service

What do you like best? We used Keatext for an analysis of a high volume of app store reviews. With a condensed timeline, we were able to easily see ...

Read more

C(

Charles (Butch) R

06/04/20

5 out of 5

Solid Text Analysis, Easy-to-Use Portal and Outstanding Service

What do you like best? Customer service is obviously a big focus of the team and they offered us training and regular meetings to make sure we were ...

Read more

BK

Bob K

05/26/20

5 out of 5

Words Matter

What do you like best? Accuracy in analysis of unstructured data What do you dislike? Nothing really. It is accurate and smart. Recommendations to ...

Read more

What are the features of Keatext?

80%

Feature coverage

8 of 10 tracked features

Audience analysis is a vital feature of software that helps businesses understand their target audience in a more comprehensive and specific…

Built-in libraries are essential components of software that provide a collection of pre-written code, tools, and functions for developers t…

Document classification is a software feature that allows users to classify or categorize documents based on their content or metadata. It i…

The import-export option is a commonly used feature in software that allows users to easily transfer data between different applications or…

Multi-language support is a software feature that enables users to access and interact with the program in multiple languages. This feature…

Predictive analysis is a powerful software feature that allows users to forecast future outcomes based on historical data and statistical al…

Segmentation is dividing a market into separate consumer groups with comparable characteristics. It's an integral aspect of any customer str…

A social media sentiment analysis tells how people on social media feel about your company. Sentiment analysis considers feelings and opinio…

Security & Compliance

Keatext security and data handling

Key compliance certifications and security features for IT and security teams evaluating Keatext.

Certifications

GDPR✓ Certified

Developer & data

Data residency
🇺🇸

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Help & Contact

Keatext Support Options

Customer ServiceBusiness HoursOnline
LocationQuébec, Canada

Frequently Asked Questions About Keatext

Common questions buyers ask before choosing Keatext.

Keatext is a Text Mining Software. Keatext offers Import-Export Option, Built-in Library, Document Classification, Audience Analysis, Segmentation and many more functionalities.

Keatext is a strong fit if: You require rigorous statistical tests like t-test, ANOVA, and regression in text analysis.; You want to extract deep linguistic insights such as concordances and collocations.. Consider alternatives if: You need out-of-the-box industry-specific NLP models or templates.; Your organization demands transparent pricing and extensive integration capabilities..

Buyers commonly note the following limitations of Keatext: Lack of publicly available pricing details may complicate budgeting; No explicit mention of pre-built industry-specific models or templates; Limited information on integration capabilities with other software.

Some top alternatives to Keatext includes Inmoment, RapidMiner, Kapiche, SAS Text Miner and teX-ai.

Keatext offers Free Trial, Quotation Based, Subscription pricing models

We don't have information regarding integrations of the Keatext as of now.

The starting price of Keatext is $100/Month

Ready to try it?

Get started with Keatext

Start your free trial — no credit card required.

Disclaimer: This research has been collated from a variety of authoritative sources. We welcome your feedback at [email protected].

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