Based on our record, spaCy seems to be a lot more popular than NLTK. While we know about 58 links to spaCy, we've tracked only 3 mentions of NLTK. 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.
To give you some further inspiration, you might want to check out the NLTK (Natural Language Toolkit - https://www.nltk.org/ ). It is a huge collection of tools for language data processing in general. Source: 12 months ago
I work mostly in the NLP space, so other libraries I like are spaCy, nltk, and pynlp lib. Source: over 1 year ago
Learn some Python and play around with existing AI libraries. Go through things like nltk.org and some freecodecamp tutorials to get some hands-on knowledge. Follow this sub and watch the kinds of projects people are creating. Source: over 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 / 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
Amazon Comprehend - Discover insights and relationships in text
Google Cloud Natural Language API - Natural language API using Google machine learning
TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.
FuzzyWuzzy - FuzzyWuzzy is a Fuzzy String Matching in Python that uses Levenshtein Distance to calculate the differences between sequences.
Microsoft Bing Spell Check API - Enhance your apps with the Bing Spell Check API from Microsoft Azure. The spell check API corrects spelling mistakes as users are typing.
OpenNLP - Apache OpenNLP is a machine learning based toolkit for the processing of natural language text.