Based on our record, FuzzyWuzzy should be more popular than Apache OpenNLP. 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.
If your looking at spacy have a look at Apache OpenNLP and Core NLP. Source: over 1 year ago
If you want to deeper, you may want to check out something like spaCy (.NET) (or OpenNLP or LUIS or ... Many more ...) to do the heavy lifting of semantic normalization, and then go from there. Source: over 2 years ago
If you need NER, there’s no need to implement it yourself. There are several popular libraries that can do this for you nowadays. Five of these libraries, Stanford CoreNLP, NLTK, OpenNLP, SpaCy, and GATE, were already mentioned in the title. - Source: dev.to / over 2 years 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
spaCy - spaCy is a library for advanced natural language processing in Python and Cython.
Amazon Comprehend - Discover insights and relationships in text
Rosette - Rosette text analytics is a robust toolkit for processing language, documents, and names.
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
Lexalytics Semantria - A text and sentiment analysis API to easily integrate with all your applications and turn unstructured text into actionable data.