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

MonkeyLearn: MonkeyLearn is a powerful AI tool that automates text tagging in Google Sheets, eliminating manual and repetitive tasks. It is 100 times faster than human processing, significantly saving time, and 50 times more cost-effective. With MonkeyLearn, users can ensure consistent tagging criteria without errors, enabling efficient analysis of spreadsheets and faster insights from data. It offers direct... Source: about 1 year ago