Based on our record, Git should be more popular than spaCy. It has been mentiond 274 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.
Is this just using LLM to be cool? How does pure LLM with simple "In the scale between 0-10"" stack up against traditional, battle-tested sentiment analysis tools? Gemini suggests NLTK and spaCy https://www.nltk.org/ https://spacy.io/. - Source: Hacker News / 9 months ago
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 year ago
SpaCy: An open-source library providing tools for advanced NLP tasks like tokenization, entity recognition, and part-of-speech tagging. Source: over 1 year 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 / over 1 year 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 / over 1 year ago
This ecosystem is fueled by repositories hosting powerful languages, functions, and versatile tools—from backend frameworks like Django and Ruby on Rails to containerization with Docker and distributed version control via Git. Moreover, indie hackers can also utilize open source design tools (e.g. GIMP, Inkscape) and analytics platforms such as Matomo. - Source: dev.to / 7 days ago
When a bug disrupts a production environment, reverting to a known working state can minimize user impact and provide a stable baseline for investigation. Version control systems like Git or GitHub enable precise rollbacks, preserving the ability to analyze faulty code. A 2022 JetBrains survey found that 92% of developers use Git, with 65% citing rollbacks as a key benefit for debugging. - Source: dev.to / 14 days ago
Git to clone repositories and manage your project. - Source: dev.to / about 1 month ago
You can download and install Git from the official website: https://git-scm.com. - Source: dev.to / about 1 month ago
One of the rather tedious tasks of a developer is to generate changelogs. I cannot imagine that anybody enjoys going through the project history and try to reverse engineer what has happened since the last release. But the good news is that with a bit of discipline it is quite straightforward to generate those changelogs from your version control history. The examples in this blog post will use git, but I guess... - Source: dev.to / about 1 month ago
Amazon Comprehend - Discover insights and relationships in text
GitHub - Originally founded as a project to simplify sharing code, GitHub has grown into an application used by over a million people to store over two million code repositories, making GitHub the largest code host in the world.
Google Cloud Natural Language API - Natural language API using Google machine learning
Mercurial SCM - Mercurial is a free, distributed source control management tool.
FuzzyWuzzy - FuzzyWuzzy is a Fuzzy String Matching in Python that uses Levenshtein Distance to calculate the differences between sequences.
VS Code - Build and debug modern web and cloud applications, by Microsoft