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eXplorance Blue Text Analytics VS FuzzyWuzzy

Compare eXplorance Blue Text Analytics VS FuzzyWuzzy and see what are their differences

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eXplorance Blue Text Analytics logo eXplorance Blue Text Analytics

Blue Text Analytics is world-class text analysis software that makes sense of qualitative data.

FuzzyWuzzy logo FuzzyWuzzy

FuzzyWuzzy is a Fuzzy String Matching in Python that uses Levenshtein Distance to calculate the differences between sequences.
  • eXplorance Blue Text Analytics Landing page
    Landing page //
    2022-09-18
  • FuzzyWuzzy Landing page
    Landing page //
    2023-10-20

Category Popularity

0-100% (relative to eXplorance Blue Text Analytics and FuzzyWuzzy)

eXplorance Blue Text Analytics

FuzzyWuzzy

NLP And Text Analytics
24 24%
NLP And Text Analytics
76% 76
Spreadsheets
17 17%
Spreadsheets
83% 83
Natural Language Processing
20 20%
Natural Language Processing
80% 80
Market Research
100 100%
Market Research
0% 0

User comments

Share your experience with using eXplorance Blue Text Analytics and FuzzyWuzzy. For example, how are they different and which one is better?
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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.

eXplorance Blue Text Analytics mentions (0)

We have not tracked any mentions of eXplorance Blue Text Analytics yet. Tracking of eXplorance Blue Text Analytics recommendations started around Mar 2021.

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: over 2 years ago
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What are some alternatives?

When comparing eXplorance Blue Text Analytics and FuzzyWuzzy, you can also consider the following products

monkeylearn - Text Mining Made Easy. Extract and classify information from text. Integrate with your App within minutes.

Amazon Comprehend - Discover insights and relationships in text

spaCy - spaCy is a library for advanced natural language processing in Python and Cython.

Google Cloud Natural Language API - Natural language API using Google machine learning

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.

Fido Intelligence - Fido is a language decoder that converts text into a sequence of verb-related functions.

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