You could say a lot of things about AWS, but among the cloud platforms (and I've used quite a few) AWS takes the cake. It is logically structured, you can get through its documentation relatively easily, you have a great variety of tools and services to choose from [from AWS itself and from third-party developers in their marketplace]. There is a learning curve, there is quite a lot of it, but it is still way easier than some other platforms. I've used and abused AWS and EC2 specifically and for me it is the best.
Based on our record, Amazon AWS should be more popular than spaCy. It has been mentiond 362 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
Image credits: All images are sourced from the AWS website (https://aws.amazon.com/). - Source: dev.to / 6 days ago
For this article, you will need: i. A Google account for your app password generation Ii. A Linux terminal. I used the AWS console. You can sign up for a free 1yr tier account here. - Source: dev.to / 7 days ago
If you don’t already have an AWS account, sign up for one at https://aws.amazon.com/. Once you have an account, log in and go to the Elastic Beanstalk service. - Source: dev.to / 23 days ago
Pierre: Qovery will add Google Cloud Platform (GCP) by year-end, joining AWS and Scaleway! This expansion gives you more choices for your cloud needs. - Source: dev.to / about 1 month ago
Amazon Web Services (AWS) Account: Access to an AWS account is necessary to utilize Amazon OpenSearch Service. If you don't have one, you can sign up for an AWS account here. - Source: dev.to / about 2 months ago
Amazon Comprehend - Discover insights and relationships in text
DigitalOcean - Simplifying cloud hosting. Deploy an SSD cloud server in 55 seconds.
Google Cloud Natural Language API - Natural language API using Google machine learning
Microsoft Azure - Windows Azure and SQL Azure enable you to build, host and scale applications in Microsoft datacenters.
FuzzyWuzzy - FuzzyWuzzy is a Fuzzy String Matching in Python that uses Levenshtein Distance to calculate the differences between sequences.
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