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QDA Miner VS FuzzyWuzzy

Compare QDA Miner VS FuzzyWuzzy and see what are their differences

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QDA Miner logo QDA Miner

Free Qualitative Analysis Software. Download our free computer assisted qualitative data analysis software (CAQDAS) useful for performing qualitative research tasks.

FuzzyWuzzy logo FuzzyWuzzy

FuzzyWuzzy is a Fuzzy String Matching in Python that uses Levenshtein Distance to calculate the differences between sequences.
  • QDA Miner Landing page
    Landing page //
    2021-09-22
  • FuzzyWuzzy Landing page
    Landing page //
    2023-10-20

QDA Miner videos

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QDA Miner - Qualitative Data Analysis (Windows)

More videos:

  • Review - Write Literature using QDA Miner Lite: A Simple and Easy Way to Extract Critical Information
  • Review - QDA Miner Overview - Qualitative Data Analysis Software

FuzzyWuzzy videos

No FuzzyWuzzy videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to QDA Miner and FuzzyWuzzy)

QDA Miner

FuzzyWuzzy

Text Analytics
100 100%
Text Analytics
0% 0
Spreadsheets
0 0%
Spreadsheets
100% 100
Market Research
100 100%
Market Research
0% 0
NLP And Text Analytics
0 0%
NLP And Text Analytics
100% 100

User comments

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Social recommendations and mentions

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

QDA Miner mentions (1)

  • Thematic analysis in R - your experiences
    A lesser NVivo rival, QDAMiner offers a free version of its tool called QDAMiner Lite https://provalisresearch.com/products/qualitative-data-analysis-software/freeware/. Source: about 2 years ago

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 QDA Miner and FuzzyWuzzy, you can also consider the following products

MAXQDA - a professional software for qualitative and mixed methods data analysis

Amazon Comprehend - Discover insights and relationships in text

ATLAS.ti - ATLAS.ti is a powerful workbench for the qualitative analysis of large bodies of textual, graphical, audio and video data. It offers a variety of sophisticated tools for accomplishing the tasks associated with any systematic approach to "soft" data.

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

NVivo - Buy NVivo now for flexible solutions to meet your specific research and data analysis needs. 

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.

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