What is it about?
If you’re interested in building a text analytics application using a cloud-based API, how do you decide which API to go for? In the previous Industry Watch post, we looked at the text analytics APIs from the behemoths in the cloud software world: Amazon, Google, IBM and Microsoft. In this post, we survey sixteen APIs offered by smaller players in the market.
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Why is it important?
Not all text analytics APIs are equal. This article aims to help you choose wisely!
Perspectives
When I went looking for information on existing text analytics APIs, I was disappointed by the extent to which they just parroted copy from vendor websites, and didn't look in any detail at what the APIs actually did. This article is an attempt to address that deficiency for 16 of the smaller players in the marketplace.
Dr Robert Dale
Read the Original
This page is a summary of: Text analytics APIs, Part 2: The smaller players, Natural Language Engineering, August 2018, Cambridge University Press,
DOI: 10.1017/s135132491800027x.
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