Based on our record, spaCy seems to be a lot more popular than Officevibe. While we know about 58 links to spaCy, we've tracked only 2 mentions of Officevibe. 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.
Hey HN! I am asking out of genuine curiosity, and perhaps doing a little market research. My team uses https://www.donut.com/ and https://officevibe.com/ but I'm pretty sure we're on the free tier for both. Do you work in a team that pays monthly for any cool Slack apps or integrations? Which ones? If you're not the one paying, do you find it useful - or annoying? Cheers! - Source: Hacker News / over 1 year ago
Officevibe, which is an employee experience platform, regularly sends out Slack notifications on behalf of their customers asking employees to complete a brief survey. Their engineering team utilizes the Automations API to create lists of users for whom the Slack survey could not be delivered and send them an email survey instead. - Source: dev.to / about 2 years 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 / 3 months ago
SpaCy: An open-source library providing tools for advanced NLP tasks like tokenization, entity recognition, and part-of-speech tagging. Source: 7 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 / 8 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 / 10 months ago
I chose spacy. Although it's not state of the art, it's very well established and stable. Source: 12 months ago
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