Regula
MicroBlink
Smart Engines
Anyline
IDWise
Onfido
Jumio
Klippa
spaCy
Amazon Comprehend
Google Cloud Natural Language API
FuzzyWuzzy
Microsoft Bing Spell Check API
NLTK
OpenNLP
monkeylearn
With 30+ years of experience in forensic research and the largest library of document templates in the world, Regula creates breakthrough technologies in document and biometric verification. Regula hardware and software solutions allow over 1,000 organizations and 80 border control authorities globally to provide top-notch client service without compromising safety, security or speed.
Regula was named a Representative Vendor in Gartner Market Guide for Identity Proofing and Affirmation in 2022.
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Regula was named a Representative Vendor in the March 2022 Gartner Market Guide for Identity Proofing and Affirmation.
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Based on our record, spaCy seems to be more popular. It has been mentiond 58 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.
Hi Community, In this article, I will demonstrate below steps to create your own chatbot by using spaCy (spaCy is an open-source software library for advanced natural language processing, written in the programming languages Python and Cython):. - Source: dev.to / about 1 month ago
SpaCy: An open-source library providing tools for advanced NLP tasks like tokenization, entity recognition, and part-of-speech tagging. Source: 5 months ago
In this article, I'm going to walk through a sentiment analysis project from start to finish, using open-source Amazon product reviews. However, using the same approach, you can easily implement mass sentiment analysis on your own products. We'll explore an approach to sentiment analysis with one of the most popular Python NLP packages: spaCy. - Source: dev.to / 6 months ago
Spacy [0] is a state-of-art / easy-to-use NLP library from the pre-LLM era. This post is the Spacy founder's thoughts on how to integrate LLMs with the kind of problems that "traditional" NLP is used for right now. It's an advertisement for Prodigy [1], their paid tool for using LLMs to assist data labeling. That said, I think I largely agree with the premise, and it's worth reading the entire post. The steps... - Source: Hacker News / 8 months ago
I chose spacy. Although it's not state of the art, it's very well established and stable. Source: 10 months ago
MicroBlink - Real time text recognition for your mobile apps.
Amazon Comprehend - Discover insights and relationships in text
Smart Engines - Automatic and eco-friendly document scanning and OCR SDK
Google Cloud Natural Language API - Natural language API using Google machine learning
Anyline - Scan Barcodes, Passports, ID Documents, Utility Meters, License Plates, Serial Numbers, Tire DOT numbers, Documents and much more with Anyline´s AI-powered scanning solutions!
FuzzyWuzzy - FuzzyWuzzy is a Fuzzy String Matching in Python that uses Levenshtein Distance to calculate the differences between sequences.
