Flookup
Google Sheets + MonkeyLearn
Textalytic
SheetHacks by Polymer Search
Phiona.com
SyncWith for Google Sheets
goodlookup
DataCleaner
FuzzyWuzzy
Amazon Comprehend
spaCy
Microsoft Bing Spell Check API
Google Cloud Natural Language API
OpenNLP
NLTK
PyNLPl
Flookup is lightweight data cleaning suite for Google Sheets. It can be used to:
Flookup FuzzyWuzzyNo features have been listed yet.
Flookup's answer
Flookup's answer
Flookup's answer
Flookup features an intuitive set of functions and a finetuned fuzzy matching algorithm capable of tackling the most challenging and untidy datasets found online. It has excelled in projects across Africa, South America, and even those involving foreign languages like Chinese.
Flookup's answer
Flookup was created out of necessity. I was part of a team working on a project that involved cleaning and standardising thousands of rows of data. This data was some of the "dirtiest" we had ever come across and the process of cleaning it usually took about a week for each team member to complete manually. It took a few attempts but, eventually, I was able to develop a usable version of Flookup... and its impact was so significant that our task times were reduced to an average of 30 minutes, with our error rate never exceeding 1% after that.
Flookup's answer
Flookup's answer
Flookup helps complete laborious fuzzy matching or lookup tasks quickly and efficiently. It is also the most affordable deduping solution online; useful for removing or highlighting duplicates from mailing lists, contacts and leads.
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.
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
Convert the original lines to full furigana and do a fuzzy match. (For reference, the original line is ่ฒดๆนใใใใพใงใซๅพใฆใใๅใๅญๅใซ็บๆฎใใฆใใ ใใใญใ) 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
It's now known as "thefuzz", see https://github.com/seatgeek/fuzzywuzzy. Source: almost 2 years ago
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
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
Google Sheets + MonkeyLearn - Power up your Google Sheets with text analysis
Amazon Comprehend - Discover insights and relationships in text
Textalytic - Free point & click text analysis in the browser
spaCy - spaCy is a library for advanced natural language processing in Python and Cython.
SheetHacks by Polymer Search - Discover the best tips & tricks for Google Sheets & Excel
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.
