Software Alternatives & Reviews

FuzzyWuzzy VS TextBlob

Compare FuzzyWuzzy VS TextBlob and see what are their differences

FuzzyWuzzy logo FuzzyWuzzy

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

TextBlob logo TextBlob

Natural Language Processing (NLP)
  • FuzzyWuzzy Landing page
    Landing page //
    2023-10-20
  • TextBlob Landing page
    Landing page //
    2020-03-01

FuzzyWuzzy

Categories
  • Spreadsheets
  • Data Analysis
  • NLP And Text Analytics
  • Natural Language Processing
Website github.com

TextBlob

Categories
  • Spreadsheets
  • Natural Language Processing
  • NLP And Text Analytics
  • Data Analysis
Website rwet.decontextualize.com

FuzzyWuzzy videos

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TextBlob videos

Natural Language Processing (Part 4): Sentiment Analysis with TextBlob in Python

More videos:

  • Tutorial - How to Calculate Sentiment Using TextBlob - Part 5 - Python Yelp Sentiment Analysis
  • Review - A Quick Guide To Sentiment Analysis | Sentiment Analysis In Python Using Textblob | Edureka

Category Popularity

0-100% (relative to FuzzyWuzzy and TextBlob)
Spreadsheets
75 75%
25% 25
NLP And Text Analytics
72 72%
28% 28
Natural Language Processing
Data Analysis
78 78%
22% 22

User comments

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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.

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: about 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
View more

TextBlob mentions (0)

We have not tracked any mentions of TextBlob yet. Tracking of TextBlob recommendations started around Mar 2021.

What are some alternatives?

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

Amazon Comprehend - Discover insights and relationships in text

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

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.

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

NLTK - NLTK is a platform for building Python programs to work with human language data.

OpenNLP - Apache OpenNLP is a machine learning based toolkit for the processing of natural language text.