Software Alternatives & Reviews

Kimola Cognitive VS Google Cloud Natural Language API

Compare Kimola Cognitive VS Google Cloud Natural Language API and see what are their differences

Kimola Cognitive logo Kimola Cognitive

A rock-solid machine learning platform for research professionals to analyze and classify consumer conversations -or any text data- automatically.

Google Cloud Natural Language API logo Google Cloud Natural Language API

Natural language API using Google machine learning
  • Kimola Cognitive Landing page
    Landing page //
    2023-07-21

Kimola Cognitive is a rock-solid Machine Learning Platform that enables users to grab reviews from 20+ channels and analyze + classify customer feedback -or any text data- automatically. Here are TOP skills of Kimola Cognitive:

  • Scrape Web and Collect Reviews Data analysis starts with data collection, and we made it as easy as pie. Kimola offers a web browser extension for marketing and research professionals to scrape content from the web to analyze and classify. It supports over 20 mediums, such as Amazon, Yelp, Youtube, Capterra, and TrustPilot. Add this extension to your browser and set it up with one easy step to get started.

  • Pre-Built models There is a gallery of ready-to-use machine learning models for the most common use cases like sentiment and hate speech analysis along with consumer conversations around SaaS products, mobile apps, games. Choose one or more models to classify your data.

  • Create & store custom machine learning models Every research is a different journey to understand humankind, so requirements will usually be unique. That's why Kimola Cognitive also supports creating custom Machine Learning models by training your own dataset. The platform takes care of choosing the best performing statistical model for your training set to ensure the best accuracy rate possible.Your custom machine learning models are hosted on Kimola Cognitive and can be used via the user interface and API.

  • Google Cloud Natural Language API Landing page
    Landing page //
    2023-08-06

Kimola Cognitive videos

Meet Kimola Cognitive

Google Cloud Natural Language API videos

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Category Popularity

0-100% (relative to Kimola Cognitive and Google Cloud Natural Language API)
NLP And Text Analytics
10 10%
90% 90
Customer Feedback
100 100%
0% 0
Natural Language Processing
Customer Service
100 100%
0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Kimola Cognitive and Google Cloud Natural Language API

Kimola Cognitive Reviews

  1. I work in an e-commerce industry. I take Amazon reviews of the product and analyze them by e-commerce model. Also, using the GPT integration to write Amazon product descriptions makes my job a lot easier. This is very good for SEO.

  2. Perfect for starting to data models and anaylze

    like the models and the chrome extension for getting the data. It used to take me one tool to scrape the data then another to analyse the data but now with the models Im in heaven with it all in this one tool.

    🏁 Competitors: monkeylearn, Keatext
    👍 Pros:    Im a big fan its much easier to use and the ui/ux is smooth relative to its competitors i've used.
    👎 Cons:    Getting data and analyzing it. now its a breeze. its killed 2 subscriptions for me.

Google Cloud Natural Language API Reviews

We have no reviews of Google Cloud Natural Language API yet.
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Social recommendations and mentions

Based on our record, Google Cloud Natural Language API seems to be more popular. It has been mentiond 13 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Kimola Cognitive mentions (0)

We have not tracked any mentions of Kimola Cognitive yet. Tracking of Kimola Cognitive recommendations started around Apr 2023.

Google Cloud Natural Language API mentions (13)

  • Best AI SEO Tools for NLP Content Optimization
    Google Cloud Natural Language API: Google's NLP API offers one of the best AI platforms for sentiment analysis, entity recognition, and syntax analysis to understand and extract information from text. Source: 5 months ago
  • What do you think AI will replace SEO ?
    Voice search is another area where AI is reshaping SEO services. As more people use voice-activated devices, the way they search for information online is changing. AI algorithms are adept at processing natural language, allowing businesses in Chandigarh to tailor their content to match conversational queries. Optimizing for voice search is becoming a crucial aspect of SEO, and AI is at the forefront of driving... Source: 7 months ago
  • Natural Language API demo
    Can anyone get the "ANALYZE" button on https://cloud.google.com/natural-language to do anything? Source: 12 months ago
  • From pixels to information with Document AI
    We’re seeing successively difficult problems getting solved thanks to machine learning (ML) models. For example, Natural Language AI and Vision AI extract insights from text and images, with human-like results. They solve problems central to the way we communicate:. - Source: dev.to / about 1 year ago
  • Google Cloud Reference
    Cloud Natural Language API: Text parsing and analysis 🔗Link 🔗Link. - Source: dev.to / over 1 year ago
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What are some alternatives?

When comparing Kimola Cognitive and Google Cloud Natural Language API, you can also consider the following products

monkeylearn - Text Mining Made Easy. Extract and classify information from text. Integrate with your App within minutes.

spaCy - spaCy is a library for advanced natural language processing in Python and Cython.

Deep-Talk.ai - Deep Talk is the easiest way to turn customer and employee feedback into analytics and actionable data.

Amazon Comprehend - Discover insights and relationships in text

Keatext - Your most impactful CX improvements start here

FuzzyWuzzy - FuzzyWuzzy is a Fuzzy String Matching in Python that uses Levenshtein Distance to calculate the differences between sequences.