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Microsoft Academic Knowledge API VS FuzzyWuzzy

Compare Microsoft Academic Knowledge API VS FuzzyWuzzy and see what are their differences

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Microsoft Academic Knowledge API logo Microsoft Academic Knowledge API

Tap into the wealth of academic content in the Microsoft Academic Graph using the Academic Knowledge API:

FuzzyWuzzy logo FuzzyWuzzy

FuzzyWuzzy is a Fuzzy String Matching in Python that uses Levenshtein Distance to calculate the differences between sequences.
  • Microsoft Academic Knowledge API Landing page
    Landing page //
    2023-05-15
  • FuzzyWuzzy Landing page
    Landing page //
    2023-10-20

Category Popularity

0-100% (relative to Microsoft Academic Knowledge API and FuzzyWuzzy)

Microsoft Academic Knowledge API

FuzzyWuzzy

NLP And Text Analytics
19 19%
NLP And Text Analytics
81% 81
Spreadsheets
16 16%
Spreadsheets
84% 84
Natural Language Processing
19 19%
Natural Language Processing
81% 81
Data Analysis
100 100%
Data Analysis
0% 0

User comments

Share your experience with using Microsoft Academic Knowledge API 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.

Microsoft Academic Knowledge API mentions (0)

We have not tracked any mentions of Microsoft Academic Knowledge API yet. Tracking of Microsoft Academic Knowledge API 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: almost 3 years ago
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What are some alternatives?

When comparing Microsoft Academic Knowledge API and FuzzyWuzzy, you can also consider the following products

Microsoft Bing Autosuggest API - Show users intelligent search suggestions with the Bing Autosuggest API from Microsoft Azure. Test out the autocomplete API to see how it works.

Amazon Comprehend - Discover insights and relationships in text

Qubole - Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.

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

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