Avion VS monkeylearn
Compare Avion VS monkeylearn and see what are their differences
Smartsheet is an intuitive online project management tool enabling teams to increase productivity using cloud, collaboration, & mobile technologies.
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Avion
StoriesOnBoard
productboard
ProductPlan
Aha
sharpcloud
Mind Map by RealtimeBoard
Roadmunk
monkeylearn
Amazon Comprehend
spaCy
Google Cloud Natural Language API
BytesView
Chattermill
AYLIEN
Lexalytics Semantria
Avion is a real-time, collaborative user story mapping tool for agile teams.
With Avion you can:
1) Visualise your entire product and its user journeys on a user story map.
2) Effectively plan future releases and uncover gaps in your plans by identifying dependencies.
3) Focus on delivering real value to your users by prioritising the right work.
4) Easily share your release plans and product roadmap with your whole team.
Avion monkeylearnI've been user story mapping for a number of years. Tools on the web has never been a strong point for story mapping. Avion is the best I've found so far. Personally I'm using it in conjunction with Azure Devops to manage our planning and delivery processes.
Still lacks a few things such as tagging, but I asked them team and this is planned on their upcoming roadmap.
Based on our record, monkeylearn should be more popular than Avion. 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.
Agree with others that outlining these details in a story's description is the way to go. Another tool for you to check out (I helped build it): Avion – Story Mapping. Source: over 1 year ago
To give some recommendation on a non-mainstream tool: I really enjoy using avion.io for a side project right now. Source: almost 3 years ago
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: almost 2 years 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
StoriesOnBoard - StoriesOnBoard helps agile teams build better products faster. The built-in guide helps you collect and prioritize ideas, understand user requirements, gather customer feedback, and validate feature ideas with internal & external stakeholders.
Amazon Comprehend - Discover insights and relationships in text
productboard - Beautiful and powerful product management.
spaCy - spaCy is a library for advanced natural language processing in Python and Cython.
ProductPlan - Cloud-based product roadmap software solution
Google Cloud Natural Language API - Natural language API using Google machine learning