Moz
Ahrefs
SEMRush
Serpstat
SE Ranking
SEO PowerSuite
Majestic
SEO Tools Centre
FuzzyWuzzy
Amazon Comprehend
spaCy
Microsoft Bing Spell Check API
Google Cloud Natural Language API
OpenNLP
NLTK
Flookup
Moz FuzzyWuzzyNo FuzzyWuzzy videos yet. You could help us improve this page by suggesting one.
Based on our record, Moz should be more popular than FuzzyWuzzy. It has been mentiond 46 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.
Moz - "Optimizing Outlines for SERP Success" Uncover the tactics behind AgilityWriter's Outline Builder in optimizing content outlines for Search Engine Results Page (SERP) success, as discussed in Moz's expert SEO resources. Source: 6 months ago
Moz | Lead/Sr. Data Engineer | REMOTE (USA / Canada) | Full-time | https://moz.com/ We’re a small team building new ETL data pipelines in Go to power Moz’s frontend applications. We leverage AWS (Lambda, SQS, ECS, Eventbridge, S3, etc.), Terraform, and Docker to consume, transform, and aggregate the massive amounts of data provided by our platform & collections teams. I’m specifically looking for a senior engineer... - Source: Hacker News / 7 months ago
Moz: It provides various SEO tools, such as keyword research, rank tracking, link analysis, and on-page optimization recommendations. Source: 11 months ago
In addition to website metrics, track your local search rankings. Several tools, such as Moz Local and BrightLocal, can help you monitor your local search rankings and compare them to your competitors. Source: 12 months ago
Https://ahrefs.com - still prefer this the most. The intangible for me is the ease of custom filtering and data exports. Prices do keep going up tho... Https://moz.com - OG but IMHO they lost their edge; export and data reporting is lacking. Source: about 1 year ago
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 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
It's now known as "thefuzz", see https://github.com/seatgeek/fuzzywuzzy. Source: about 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: almost 3 years ago
Ahrefs - Ahrefs is a toolset for SEO and marketing. We have tools for backlink research, organic traffic research, keyword research, content marketing & more. Give Ahrefs a try!
Amazon Comprehend - Discover insights and relationships in text
SEMRush - All-in-one Marketing Toolkit for digital marketing professionals.
spaCy - spaCy is a library for advanced natural language processing in Python and Cython.
Serpstat - Search analytics, Rank tracking, Backlink analysis and Site Audit 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.