NLP Cloud
spaCy
Amazon Comprehend
Polyglot NLP
Google Cloud Natural Language API
OpenNLP
Hugging Face
TextBlob
FuzzyWuzzy
Amazon Comprehend
spaCy
Microsoft Bing Spell Check API
Google Cloud Natural Language API
OpenNLP
NLTK
PyNLPl
NLP Cloud serves high performance pre-trained or custom models for NER, sentiment-analysis, classification, summarization, dialogue summarization, paraphrasing, intent classification, product description and ad generation, chatbot, grammar and spelling correction, keywords and keyphrases extraction, text generation, question answering, machine translation, language detection, semantic similarity, tokenization, POS tagging, embeddings, and dependency parsing. It is ready for production, served through a REST API.
You can either use the NLP Cloud pre-trained models, fine-tune your own models, or deploy your own models.
NLP Cloud FuzzyWuzzyBased on our record, NLP Cloud should be more popular than FuzzyWuzzy. It has been mentiond 41 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.
NLP Cloud (their Dolphin and Fine-tuned GPT-NeoX models). Source: 10 months ago
I am using NLP Cloud more and more and have not seen such quality drop with their service. Source: 10 months ago
You have NLP Cloud which is a nice and comprehensive OpenAI competitor. Source: 10 months ago
You should try NLP Cloud, they don't censor their text generation models: https://nlpcloud.com/home/playground. Source: 10 months ago
You can use NLP Cloud, as far as I know they don't ban anybody and don't filter NSFW. Source: 10 months 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: 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
spaCy - spaCy is a library for advanced natural language processing in Python and Cython.
Amazon Comprehend - Discover insights and relationships in text
Polyglot NLP - Development
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
OpenNLP - Apache OpenNLP is a machine learning based toolkit for the processing of natural language text.
