spaCy VS React

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):

SpaCy: An open-source library providing tools for advanced NLP tasks like tokenization, entity recognition, and part-of-speech tagging.

spaCy https://spacy.io/

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.

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 described in "LLM pragmatism" are basically what I see my data science friends doing — it's hard to justify the cost (money and latency) in using LLMs directly for all tasks, and even if you want to you'll need a baseline model to compare against, so why not use LLMs for dataset creation or augmentation in order to train a classic supervised model?

[0] https://spacy.io/

[1] https://prodi.gy/

spaCy

I chose spacy. Although it's not state of the art, it's very well established and stable.

ReactJS React js. CSS. JSX. Function Components in React.

JavaScript Standard Style is less opinionated about JSX formatting and largely leaves JSX as-is. In a React project, you should integrate with React-specific linting rules for ESLint. The generally accepted configurations are eslint-plugin-react and eslint-plugin-react-hooks, enforcing some best practices of writing React code.

We are continuing to add new project templates for various types of projects, and we've recently created one for the infamous combination of React with Vite tooling.

Go to https://react.dev/?uwu=true for a surprise.

You can use any frontend framework you want — react-based tooling, however, has a natural advantage as it models everything as a function of state, which can map 1:1 with the concept in Burr. In the demo app we use react, react-query, and tailwind, but we’ll be skipping over this largely (it is not central to the purpose of the post).

Oddly, no info on changelog: https://github.com/facebook/react/blob/main/CHANGELOG.md

In this post, we get to know more about Preact, one of this year's trending libraries. And we'll compare it to React to see which one suits better for our projects.

Cheryl Murphy is not only a dedicated full-stack web developer skilled in technologies like React, Next.js, and NestJs but also a community-driven professional who recently took on the role of volunteer project team lead at Web Dev Path. With a dual Bachelor's degree in Computing and Chemical Engineering from Monash University, Cheryl’s journey in tech is marked by a passion for building accessible solutions and a commitment to fostering community within tech.

Basic knowledge of ReactJs