Diffbot vs Google Cloud Natural Language API
Overview
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Detailed Comparison
Our APIs use computer vision, machine learning and natural language processing to help developers extract and understand objects from any Web page. We've determined that the entire Web can be classified into approximately 18 structural page types. From this basic understanding of common page layouts, Diffbot then uses computer vision, natural language processing and other machine learning algorithms to identify and extract the important items from within these pages. | You can use it to extract information about people, places, events and much more, mentioned in text documents, news articles or blog posts. You can use it to understand sentiment about your product on social media or parse intent from customer conversations happening in a call center or a messaging app. You can analyze text uploaded in your request or integrate with your document storage on Google Cloud Storage. |
The Article API is used to extract clean article text from news article web pages.;The Follow API allows you to subscribe to the changes of any web page.;The Frontpage API takes in a multifaceted “homepage” and returns individual page elements.;[Limited Alpha] The Page Classifier API takes any web link and automatically determines what type of page it is.;Accurate- We utilize state-of-the art computer vision and NLP algorithms; have the largest collection of tagged pages and update our model several times per week.;Easy- Pass in a URL and we'll do the rest. Stop spending time building custom scrapers and -- even worse -- maintaining them.;Stable- Diffbot is built and run by Web veterans in a multi-tiered environment with redundancy, monitoring and scalability built-in. Our scale lets us operate the service more cheaply than running it yourself.;Open- We use open standards (schema.org) and allow for endless configurability via our customization tool. | - |
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What are some alternatives to Diffbot, Google Cloud Natural Language API?
rasa NLU
rasa NLU (Natural Language Understanding) is a tool for intent classification and entity extraction. You can think of rasa NLU as a set of high level APIs for building your own language parser using existing NLP and ML libraries.
SpaCy
It is a library for advanced Natural Language Processing in Python and Cython. It's built on the very latest research, and was designed from day one to be used in real products. It comes with pre-trained statistical models and word vectors, and currently supports tokenization for 49+ languages.
Speechly
It can be used to complement any regular touch user interface with a real time voice user interface. It offers real time feedback for faster and more intuitive experience that enables end user to recover from possible errors quickly and with no interruptions.
MonkeyLearn
Turn emails, tweets, surveys or any text into actionable data. Automate business workflows and saveExtract and classify information from text. Integrate with your App within minutes. Get started for free.
Jina
It is geared towards building search systems for any kind of data, including text, images, audio, video and many more. With the modular design & multi-layer abstraction, you can leverage the efficient patterns to build the system by parts, or chaining them into a Flow for an end-to-end experience.
Sentence Transformers
It provides an easy method to compute dense vector representations for sentences, paragraphs, and images. The models are based on transformer networks like BERT / RoBERTa / XLM-RoBERTa etc. and achieve state-of-the-art performance in various tasks.
FastText
It is an open-source, free, lightweight library that allows users to learn text representations and text classifiers. It works on standard, generic hardware. Models can later be reduced in size to even fit on mobile devices.
CoreNLP
It provides a set of natural language analysis tools written in Java. It can take raw human language text input and give the base forms of words, their parts of speech, whether they are names of companies, people, etc., normalize and interpret dates, times, and numeric quantities, mark up the structure of sentences in terms of phrases or word dependencies, and indicate which noun phrases refer to the same entities.
Flair
Flair allows you to apply our state-of-the-art natural language processing (NLP) models to your text, such as named entity recognition (NER), part-of-speech tagging (PoS), sense disambiguation and classification.
SEOBlogger
Grow organic traffic on auto-pilot with AI-powered SEO content. Get recommended by ChatGPT & rank on Google.
