spaCy
Amazon Comprehend
Google Cloud Natural Language API
FuzzyWuzzy
Microsoft Bing Spell Check API
NLTK
OpenNLP
monkeylearn
Titanvx
Google Cloud Natural Language API
OpenAI Universe
NLP Cloud
paper-digest
1984 Hosting
Universal LPC Spritesheet Character Generator
Amazon Comprehend
We build cutting-edge software that automates the processing and understanding of natural language data.
TitanvxNo features have been listed yet.
Titanvx's answer:
Titan NLP is an integrated toolset for processing unstructured information. It uses a new approach to NLP based on combining transformers with knowledge graphs.
Titanvx's answer:
Titan provides more dimensions for text processing. It also delivers higher accuracy than most industry-standard products.
Titanvx's answer:
NLP Developers and Data Scientists
Titanvx's answer:
We set out to design an autonomous system for developing intelligent agents. Titan NLP is the first product suite based on this new cognitive architecture.
Titanvx's answer:
Machine learning, cognitive architectures, knowledge graphs, Natural language processing, knowledge representation and reasoning.
Titanvx's answer:
Early days yet, but Titan NLP is currently been piloted in the defense and space industry.
Based on our record, spaCy seems to be more popular. It has been mentiond 58 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.
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: 6 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 / 9 months ago
I chose spacy. Although it's not state of the art, it's very well established and stable. Source: 11 months ago
Amazon Comprehend - Discover insights and relationships in text
Google Cloud Natural Language API - Natural language API using Google machine learning
OpenAI Universe - Platform for measuring and training AI agents
FuzzyWuzzy - FuzzyWuzzy is a Fuzzy String Matching in Python that uses Levenshtein Distance to calculate the differences between sequences.
NLP Cloud - High performance AI models, ready for production, served through a REST API. Fine-tune and deploy your own models. Easily use generative AI in production.
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.
