Kimola Cognitive Description

Kimola Cognitive is a highly reliable Machine Learning Platform that empowers individuals to automatically extract reviews from over 20 different channels and analyze and categorize customer feedback or any other textual data.

These are the top features of Kimola Cognitive:

Gather reviews by scraping the web
Conduct text analysis and entity recognition with drag and drop
Analyze data with ready-made models found on the Kimola Cognitive Gallery
Create, train, and store custom machine learning models without coding
Generate executive summaries, SWOT analyses, and other impactful marketing materials utilizing GPT Integration
Accessible in six languages and increasing

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Machine learning can provide insightful text analysis that extracts, analyses, and stores text. AutoML allows you to create high-quality custom machine learning models without writing a single line. Natural Language API allows you to apply natural language understanding (NLU). To identify and label fields in a document, such as emails and chats, use entity analysis. Next, perform sentiment analysis to understand customer opinions and find UX and product insights. Natural Language with speech to text API extracts insights form audio. Vision API provides optical character recognition (OCR), which can be used to scan scanned documents. Translation API can understand sentiments in multiple languages. You can use custom entity extraction to identify domain-specific entities in documents. Many of these entities don't appear within standard language models. This allows you to save time and money by not having to do manual analysis. You can create your own machine learning custom models that can classify, extract and detect sentiment.
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BytesView is a powerful machine learning and NLP-based text analytics tool. It can easily compile and analyze large amounts of text data from multiple sources. There are many text mining and analysis tools that can be used to extract valuable insights from unstructured texts. BytesView also offers API Services that allow you to train custom data analysis models using data specific to your company to improve accuracy and efficiency.
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Pricing

Pricing Starts At:
$199 / 10000 Queries / month
Pricing Information:
Pricing is based on query limit, custom model count and support options.
Free Trial:
Yes

Integrations

View Integrations

Reviews - 3 Verified Reviews

Total
ease
features
design
support
See More Reviews Write a Review

Company Details

Company:
Kimola
Year Founded:
2014
Headquarters:
United States
Website:
kimola.com
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Media

Play Video Kimola Cognitive Screenshot 1 Kimola Cognitive Screenshot 2 Kimola Cognitive Pre-built Models Kimola Cognitive's Airset Generator can scrape reviews across web. Kimola Cognitive Screenshot 5
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Product Details

Platforms
SaaS
Type of Training
Documentation
Live Online
Webinars
In Person
Videos
Customer Support
Phone Support
24/7 Live Support
Online

Kimola Cognitive Features and Options

Artificial Intelligence Software

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

Text Mining Software

Boolean Queries
Document Filtering
Graphical Data Presentation
Language Detection
Predictive Modeling
Sentiment Analysis
Summarization
Tagging
Taxonomy Classification
Text Analysis
Topic Clustering

Qualitative Data Analysis Software

Annotations
Collaboration
Data Visualization
Media Analytics
Mixed Methods Research
Multi-Language
Qualitative Comparative Analysis
Quantitative Content Analysis
Sentiment Analysis
Statistical Analysis
Text Analytics
User Research Analysis

Kimola Cognitive User Reviews

Write a Review
  • Name: Sophia P.
    Job Title: -
    Length of product use: 6-12 Months
    Used How Often?: Weekly
    Role: User
    Organization Size: 1 - 25
    Features
    Design
    Ease
    Pricing
    Support
    Likelihood to Recommend to Others
    1 2 3 4 5 6 7 8 9 10

    Great Platform!

    Date: Apr 27 2023

    Summary: Kimola Cognitive is a great addition to my workflow as a marketer. It's user-friendly and has made data analysis much more efficient. Highly recommend it for anyone who needs to analyze data quickly.

    Positive: We love this platform because it makes it easier to analyze all the text and provides a detailed report for the results. Also, they have great customer service.

    Negative: There's nothing I don't like about the platform. It is the best platform to text analyze.

    Read More...
  • Name: Ava C.
    Job Title: Customer experience
    Length of product use: 6-12 Months
    Used How Often?: Weekly
    Role: User
    Organization Size: 1 - 25
    Features
    Design
    Ease
    Pricing
    Support
    Likelihood to Recommend to Others
    1 2 3 4 5 6 7 8 9 10

    Great Product!

    Date: Apr 27 2023

    Summary: I am a customer experience specialist in a bank, and with this platform, we continue to strengthen our strategies to increase satisfaction.

    Positive: I am a customer experience specialist in private banking, I use Kimola Cognitive to analyze our bank's approach from the customer's perspective. With the insights we gain from our customers, we strengthen our strategies to increase satisfaction. Based on my positive experience, I would highly recommend Kimola Cognitive to colleagues in the customer experience field.

    Negative: A little more information can be provided about the user onboarding phase.

    Read More...
  • Name: Kevin A.
    Job Title: Game Developer
    Length of product use: 6-12 Months
    Used How Often?: Weekly
    Role: User, Deployment
    Organization Size: 1 - 25
    Features
    Design
    Ease
    Pricing
    Support
    Likelihood to Recommend to Others
    1 2 3 4 5 6 7 8 9 10

    Best for text analysis

    Edited: Apr 28 2023

    Summary: As a game developer, we have to act according to user feedback on Twitter. Kimola Cognitive is the perfect tool for this job. Thanks to the data scraper extension, I can easily extract all the data.

    Positive: The most important detail that attracts my attention is the interface and the fact that it does not require code.

    Negative: I would prefer to have more than 8 categories in the classification tool.

    Read More...
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