Keatext VS monkeylearn
Compare Keatext VS monkeylearn and see what are their differences
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Keatext
Chattermill
RapidMiner
Farrago
Tibco Data Science
Stratifyd
Customer Thermometer
Confirmit
monkeylearn
Amazon Comprehend
spaCy
Google Cloud Natural Language API
BytesView
Chattermill
AYLIEN
Lexalytics Semantria
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 monkeylearnNo features have been listed yet.
Based on our record, monkeylearn seems to be more popular. It has been mentiond 11 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.
MonkeyLearn: A platform for text analysis and machine learning, allowing users to train custom models for tasks like sentiment analysis and topic classification. Source: 5 months ago
Monkeylearn.com — Text analysis with machine learning, free 300 queries/month. - Source: dev.to / over 1 year ago
MonkeyLearn supports 11 languages for data analysis (Spanish, Portuguese, German, Russian, Italian, French, Dutch, Chinese, Japanese, Korean and Arabic). But for sentiment analysis, only Spanish seems to be available, I’m not sure about that. Source: over 1 year ago
R3: Used RedditExtractoR in R to download all-time top posts, and ran the resulting .csv through https://monkeylearn.com/. Downloaded the resulting table and deleted top result "OC" - then visualized it with ggplot to give a sense of absolute numbers. Total posts considered in this are 988, the word cloud only looks at the 98 most mentioned words/phrases. Let me know if you have got any questions/concerns! Source: over 1 year ago
Go to monkeylearn.com and sign up for a free demo. Then cut and paste your blog text into the extractor/classifier. Source: almost 2 years ago
Chattermill - Extract actionable insights from customer feedback using deep learning
Amazon Comprehend - Discover insights and relationships in text
RapidMiner - RapidMiner is a software platform for data science teams that unites data prep, machine learning, and predictive model deployment.
spaCy - spaCy is a library for advanced natural language processing in Python and Cython.
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