Eclipse AI VS FuzzyWuzzy

Eclipse AI

Eclipse AI is a plug-and-play AI tool that detects the risk indicators that lead to customer churn.

FuzzyWuzzy

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

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2023-03-19

Eclipse AI allows you to plug in your voice-of-customer data from different channels (surveys, reviews, chat logs, phone logs, etc.). Eclipse AI then generates risk mitigations to reduce customer churn based on analysis of your voice-of-customer data and industry best practices.

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2023-10-20

See what Eclipse AI can do for your business in 80 seconds

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Category Popularity

0-100% (relative to Eclipse AI and FuzzyWuzzy)

Eclipse AI

FuzzyWuzzy

Churn Optimization

100 100%

Churn Optimization

0% 0

Spreadsheets

0 0%

Spreadsheets

100% 100

Audience Insights

100 100%

Audience Insights

0% 0

NLP And Text Analytics

0 0%

NLP And Text Analytics

100% 100

User comments

Share your experience with using Eclipse AI and FuzzyWuzzy. For example, how are they different and which one is better?

Social recommendations and mentions

Based on our record, FuzzyWuzzy 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.

Eclipse AI mentions (0)

We have not tracked any mentions of Eclipse AI yet. Tracking of Eclipse AI recommendations started around Mar 2023.

FuzzyWuzzy mentions (11)

Need help solving a subtitles problem. The logic seems complex
Do fuzzy matching (something like fuzzywuzzy maybe) to see if the the words line up (allowing for wrong words). You'll need to work out how to use scoring to work out how well aligned the two lists are. Source: over 1 year ago
Thanks to this sub, we now have an Anki deck for Persona 5 Royal. Spreadsheet with Jp and Eng side by side too.
Convert the original lines to full furigana and do a fuzzy match. (For reference, the original line is 貴方がこれまでに得てきた力、存分に発揮してくださいね。) You can do a regional search using the initial scene data (E60) first, and if the confidence is low, go for a slower full search. Source: over 1 year ago
Fuzzy search
It's now known as "thefuzz", see https://github.com/seatgeek/fuzzywuzzy. Source: about 2 years ago
I made a bot that stops muck chains, here are the phrases that he looks for to flag the comment as a muck comment. Are there any muck forms I forgot about?
You can have a look at this library to use fuzzy search instead of looking for plaintext muck: https://github.com/seatgeek/fuzzywuzzy. Source: over 2 years ago
How would you approach this
To deal with comparing the string, I found FuzzyWuzzy ratio function that is returning a score of how much the strings are similar from 0-100. Source: almost 3 years ago