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FuzzyWuzzy VS Chattermill

Compare FuzzyWuzzy VS Chattermill and see what are their differences

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FuzzyWuzzy logo FuzzyWuzzy

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

Chattermill logo Chattermill

Extract actionable insights from customer feedback using deep learning
  • FuzzyWuzzy Landing page
    Landing page //
    2023-10-20
  • Chattermill Landing page
    Landing page //
    2023-07-27

FuzzyWuzzy videos

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Chattermill videos

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Dmitry Isupov, Co Founder, Chattermill

More videos:

  • Review - Chattermill raises £600K to use ‘deep learning’ to help companies make sense of customer feedback
  • Review - David Ascott, Head of Sales - Chattermill Segment at January Conference

Category Popularity

0-100% (relative to FuzzyWuzzy and Chattermill)

FuzzyWuzzy

Chattermill

Spreadsheets
86 86%
Spreadsheets
14% 14
NLP And Text Analytics
65 65%
NLP And Text Analytics
35% 35
Customer Feedback
0 0%
Customer Feedback
100% 100
Natural Language Processing
100 100%
Natural Language Processing
0% 0

User comments

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Social recommendations and mentions

Based on our record, FuzzyWuzzy seems to be a lot more popular than Chattermill. While we know about 11 links to FuzzyWuzzy, we've tracked only 1 mention of Chattermill. 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.

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: almost 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
View more

Chattermill mentions (1)

  • Analyzing text data
    Https://chattermill.com - if you have the resources for it. Source: over 1 year ago

What are some alternatives?

When comparing FuzzyWuzzy and Chattermill, you can also consider the following products

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.

Tibco Data Science - Data science is a team sport. Data scientists, citizen data scientists, business users, and developers need flexible and extensible tools that promote collaboration, automation, and...

Microsoft Bing Spell Check API - Enhance your apps with the Bing Spell Check API from Microsoft Azure. The spell check API corrects spelling mistakes as users are typing.

Stratifyd - Stratifyd delivers the most comprehensive, unbiased insights from structured and unstructured data...

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