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Traackr VS FuzzyWuzzy

Compare Traackr VS FuzzyWuzzy and see what are their differences

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Contents:
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Traackr logo Traackr

Traackr is an influencer marketing platform.

FuzzyWuzzy logo FuzzyWuzzy

FuzzyWuzzy is a Fuzzy String Matching in Python that uses Levenshtein Distance to calculate the differences between sequences.
  • Traackr Landing page
    Landing page //
    2023-10-19
  • FuzzyWuzzy Landing page
    Landing page //
    2023-10-20

Traackr videos

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Traackr Review: Influencer Marketing Software (Platform)

More videos:

  • Review - Traackr Review: Influencer Marketing Software (Platform) - Pricing & Features
  • Review - Intro to Traackr's Influencer Marketing Platfrom

FuzzyWuzzy videos

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Category Popularity

0-100% (relative to Traackr and FuzzyWuzzy)

Traackr

FuzzyWuzzy

Influencer Marketing
100 100%
Influencer Marketing
0% 0
Spreadsheets
0 0%
Spreadsheets
100% 100
Marketing
100 100%
Marketing
0% 0
NLP And Text Analytics
0 0%
NLP And Text Analytics
100% 100

User comments

Share your experience with using Traackr 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.

Traackr mentions (0)

We have not tracked any mentions of Traackr yet. Tracking of Traackr 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: about 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 Traackr and FuzzyWuzzy, you can also consider the following products

CreatorIQ - CreatorIQ helps agencies, publishers and brands spend more time scaling their influencer programs by spending less time managing them.

Amazon Comprehend - Discover insights and relationships in text

GRIN - Our all-in-one creator management platform lets you combine all your influencer marketing functions with your ecommerce workflow and run your entire program in one place. From creator discovery and outreach to campaign execution, reporting, & beyond.

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

BrandWatch - The best social monitoring tool

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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