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UBIAI vs AYLIEN: What are the differences?
UBIAI: An easy-to-use text annotation tool for NLP applications. It is an efficient and easy-to-use text annotation tool for Natural Language Processing (NLP) applications. With this, you can train an NLP model in few hours by collaborating with team members and using the machine learning auto-annotation feature; AYLIEN: Text Analysis API package consisting of eight different Natural Language Processing, Information Retrieval and Machine Learning APIs. At the top of each mountain of data lies a nugget of invaluable knowledge, but it takes an incredibly powerful tool to bring that mountain to its knees. That's precisely what our Text Analysis API does.
UBIAI belongs to "Data Labeling as a Service" category of the tech stack, while AYLIEN can be primarily classified under "NLP / Sentiment Analysis".
Some of the features offered by UBIAI are:
- Multi-format document upload: TXT, CSV , JSON , PDF, DOC, HTML
- Multilingual: English, French, German, Arabic, Spanish, etc…
- Dictionary/Regex auto-annotation: input a list of words or regex patterns along with their associated entities. The tool will automatically scan the documents and auto-annotate
On the other hand, AYLIEN provides the following key features:
- The first step in understanding a document is to strip it of unnecessary elements. Article Extraction strips HTML documents of ads, navigation elements, and anything that gets in the way of understanding the text.
- Why use 100 words when 10 will do? Summarization extracts key sentences from a text, leaving only the most important concepts.
- Because a text includes more than just concepts, Entity Extraction lists organizations, phone numbers, currency amounts, even individuals mentioned in a text.