Keatext VS Amazon Comprehend
Compare Keatext VS Amazon Comprehend and see what are their differences
The PAQATO After-Sales Experience Platform is the growth driver that makes online stores successful for tomorrow.
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Keatext
Chattermill
RapidMiner
Farrago
monkeylearn
Tibco Data Science
Stratifyd
Customer Thermometer
Amazon Comprehend
spaCy
FuzzyWuzzy
Google Cloud Natural Language API
Microsoft Bing Spell Check API
NLTK
OpenNLP
monkeylearn
Keatext is a CX analytics solution that provides AI-based predictive recommendations to improve customer satisfaction.
Get recommendations from your customer responses like reviews, open ended surveys, and contact center tickets to support data-driven decisions and be a more customer-centric organization.
Bring forward decisions with impact: Zero in on opportunities to increase ROI and identify strengths and weaknesses from your customer data
Monitor every stage of the customer journey: Build a complete view of what drives customer satisfaction and discontent
Automate how you generate customer intelligence: Uncover customer insights you can act on without any heavy lifting
Key features
The application is cloud-based and requires no advanced setup or training to start getting insights.
Keatext is trusted by companies in over 10 industries including Lenovo, Intuit, and Intelcom. By using the platform, clients not only improve their customer experience KPIs but help their organization become more customer-centric.
Keatext Amazon ComprehendNo features have been listed yet.
Based on our record, Amazon Comprehend seems to be more popular. It has been mentiond 19 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.
Would you like additional capabilities like connecting to Machine Learning, Dashboards and Quicksight and leveraging other tools like Comprehend. - Source: dev.to / 10 months ago
Once again, I asked ChatGPT to perform this analysis. I could have used some of the AI tools provided by AWS, like the detectSentiment API from Amazon Comprehend, but tools like ChatGPT make it so easy to just add a simple "also, tell me in one word what the sentiment is" clause to a query I'm asking. - Source: dev.to / 12 months ago
And now we can run amplify push to create the resources in AWS. The AWS service that will be used for this functionality is Amazon Comprehend. The pricing for this service can be found here. - Source: dev.to / about 1 year ago
Amazon has developed its own NLP service called Amazon Comprehend, which is designed to extract insights and relationships from unstructured text data. Source: about 1 year ago
First, can you use a different AWS service, such as Comprehend or SageMaker? You only "pay for what you use" instead of paying for an idle server. This is especially helpful for a start up, since you don't pay a lot if you don't have a lot of customers.. Source: about 1 year ago
Chattermill - Extract actionable insights from customer feedback using deep learning
spaCy - spaCy is a library for advanced natural language processing in Python and Cython.
RapidMiner - RapidMiner is a software platform for data science teams that unites data prep, machine learning, and predictive model deployment.
FuzzyWuzzy - FuzzyWuzzy is a Fuzzy String Matching in Python that uses Levenshtein Distance to calculate the differences between sequences.
Farrago - Intuitive soundboard app to quickly play sound bites, audio effects, and music clips.
Google Cloud Natural Language API - Natural language API using Google machine learning