Software Alternatives, Accelerators & Startups

LOOQME VS FuzzyWuzzy

Compare LOOQME VS FuzzyWuzzy and see what are their differences

LOOQME logo LOOQME

A business analytics service for public relations

FuzzyWuzzy logo FuzzyWuzzy

FuzzyWuzzy is a Fuzzy String Matching in Python that uses Levenshtein Distance to calculate the differences between sequences.
  • LOOQME Landing page
    Landing page //
    2022-11-12

LOOQME is a service for PR managers which helps to monitor all brand mentions in media and get full pr-campaign analytics. Using our service PR managers can design, optimize and control the goals of their communication strategies in a few clicks, measure campaigns efficiency, and get useful insights.

LOOQME system gathers needed data from media and labels it. Based on this it creates full analytics about the impact of every mention, competitor’s activity and market situation in real time.

LOOQME service provides media monitoring, alerts, analytics.

LOOQME helps PR professionals to save time and resources, improve KPIs, always stay informed and maintain a good reputation in media.

  • FuzzyWuzzy Landing page
    Landing page //
    2023-10-20

LOOQME videos

IT Arena 2018 Startup Competition Finals: LOOQME

FuzzyWuzzy videos

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Category Popularity

0-100% (relative to LOOQME and FuzzyWuzzy)
Analytics
100 100%
0% 0
Spreadsheets
8 8%
92% 92
Business Analytics
100 100%
0% 0
Natural Language Processing

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.

LOOQME mentions (0)

We have not tracked any mentions of LOOQME yet. Tracking of LOOQME 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?

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

Spreadsheet Dashboards from Geckoboard - The smart way to share data from Excel or GSheets - now free

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.