Google Cloud Natural Language API
spaCy
Amazon Comprehend
FuzzyWuzzy
Microsoft Bing Spell Check API
NLTK
monkeylearn
OpenNLP
Scale Nucleus
PerceptiLabs
Aquarium
ML Image Classifier
Pixave
Google Cloud TPUs
PhotoFinder
Inboard
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Based on our record, Google Cloud Natural Language API should be more popular than Scale Nucleus. It has been mentiond 14 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.
On this family summer trip to Asia, I've admittedly been relying heavily on Google Translate. As someone who lives in the world of APIs, that makes me think of "its API,"^ the Google Cloud Translation API. Pure translation, though, is not the same as finding the right words (although they're similar), and that makes me think of natural language understanding (NLU). When considering NLU and NLP (natural language... - Source: dev.to / 2 days ago
Google Cloud Natural Language API: Google's NLP API offers one of the best AI platforms for sentiment analysis, entity recognition, and syntax analysis to understand and extract information from text. Source: 7 months ago
Voice search is another area where AI is reshaping SEO services. As more people use voice-activated devices, the way they search for information online is changing. AI algorithms are adept at processing natural language, allowing businesses in Chandigarh to tailor their content to match conversational queries. Optimizing for voice search is becoming a crucial aspect of SEO, and AI is at the forefront of driving... Source: 9 months ago
Can anyone get the "ANALYZE" button on https://cloud.google.com/natural-language to do anything? Source: about 1 year ago
We’re seeing successively difficult problems getting solved thanks to machine learning (ML) models. For example, Natural Language AI and Vision AI extract insights from text and images, with human-like results. They solve problems central to the way we communicate:. - Source: dev.to / over 1 year ago
At Scale we built a tool for model debugging in computer vision called Nucleus (scale.com/nucleus) designed exactly for this, which is free try out if you're curious to see where your model predictions are most at odds with your ground truth. Source: over 2 years ago
To address your point about gathering edge cases, which can also be defined as cases of low model fidelity for our use cases, there is active learning and tools such as Aquarium Learning and Scale Nucleus which make it easy to implement into workflows. Source: almost 3 years ago
spaCy - spaCy is a library for advanced natural language processing in Python and Cython.
PerceptiLabs - A tool to build your machine learning model at warp speed.
Amazon Comprehend - Discover insights and relationships in text
Aquarium - Improve ML models by improving datasets they’re trained on
FuzzyWuzzy - FuzzyWuzzy is a Fuzzy String Matching in Python that uses Levenshtein Distance to calculate the differences between sequences.
ML Image Classifier - Quickly train custom machine learning models in your browser